The subject matter of this application is related to the subject matter in the following applications:
1. Field
The present disclosure relates generally to facilitating communication over a data network. More specifically, the present disclosure relates to a system and method for facilitating hash-based forwarding of packets with hierarchically structured variable-length identifiers.
2. Related Art
The proliferation of the Internet and e-commerce continues to fuel revolutionary changes in the network industry. Today, a significant number of information exchanges, from online movie viewing to daily news delivery, retail sales, and instant messaging, are conducted online. An increasing number of Internet applications are also becoming mobile. However, the current Internet operates on a largely location-based addressing scheme. The two most ubiquitous protocols, the Internet Protocol (IP) and Ethernet protocol, are both based on location-based addresses. That is, a consumer of content can only receive the content by explicitly requesting the content from an address (e.g., IP address or Ethernet media access control (MAC) address) closely associated with a physical object or location. This restrictive addressing scheme is becoming progressively inadequate for meeting the ever-changing network demands.
Recently, content centric network (CCN) architectures have been proposed in the industry. CCN brings a new approach to content transport. Instead of having network traffic viewed at the application level as end-to-end conversations over which content travels, content is requested or returned based on its unique name, and the network is responsible for routing content from the provider to the consumer. Note that content includes data that can be transported in the communication system, including any form of data such as text, images, video, and/or audio. A consumer and a provider can be a person at a computer or an automated process inside or outside the CCN. A piece of content can refer to the entire content or a respective portion of the content. For example, a newspaper article might be represented by multiple pieces of content embodied as data packets. A piece of content can also be associated with meta-data describing or augmenting the piece of content with information such as authentication data, creation date, content owner, etc.
In CCN, content objects and interests are identified by their names, which is typically a hierarchically structured variable-length identifier (HSVLI). Because these names have variable lengths, it is difficult to forward packets with HSVLIs at line speed with high throughput.
One embodiment of the present invention provides a system for forwarding packets with hierarchically structured variable-length identifiers (HSVLIs). During operation, the system receiving a packet with an HSVLI. The packet includes a first value and a second value. The first value uniquely represents an interest corresponding to the HSVLI. The second value is derived based on at least a subset of the HSVLI components. The system then makes a forwarding decision for the packet based on the first hash value and second hash value.
In a variation on this embodiment, the packet is an interest in a piece of content corresponding to the HSVLI. The first value is a hash derived based on the entire HSVLI and optionally additional information in the packet. The second value is a hash derived on the subset of the HSVLI components. The system updates the second value based on a longer prefix match for the HSVLI.
In a variation on this embodiment, the packet contains a content object in response to an interest in the content.
In a variation on this embodiment, the system maintains a pending interest table, wherein a respective entry in the pending interest table indicates a pending interest associated with the first value and optionally the second value.
In a variation on this embodiment, the system maintains a forwarding information base, wherein a respective entry in the forwarding information base indicates forwarding information for a packet that contains a particular second value.
In a further variation, the entry in the forwarding information base further indicates that a longer prefix match exists for the HSVLI.
In a variation on this embodiment, the packet is an interest in the piece of content. In addition, the system searches a local content store for content corresponding to the interest based on the first value and optionally the second value.
In a variation on this embodiment, the packet contains a content object in response to an interest in the content. The system further updates the second hash value for the packet based on a second hash value of corresponding interest packet that is previously received.
In the figures, like reference numerals refer to the same figure elements.
Overview
Embodiments of the present invention provide a system and method for using fixed size, flat byte strings to forward CCN packets with Hierarchically Structured Variable Length Identifiers (HSVLIs), thus simplifying the work done at a packet forwarder. A first byte string, referred to as the Similarity Hash (SH), represents the query in an Interest. The Similarity Hash remains invariant as a packet moves through the network. A second byte string, called the Forwarding Hash (FH), represents the longest matching prefix in the routing tables in various forwarding devices (e.g., routers, switches, etc.) along a data path that matches the Interest name. The Forwarding Hash may change hop-by-hop if the underlying routing tables change, such that it always represents the best match at the previous hop. A Content Object, sent in response to an SH/FH Interest, carries the SH/FH header along the return path so the Content Object may be forwarded along the proper path.
In general, CCN uses two types of messages: Interests and Content Objects. An Interest carries the hierarchically structured variable-length identifier (HSVLI), also called the “name,” of a Content Object and serves as a request for that object. If a network element (e.g., router) receives multiple interests for the same name, it may aggregate those interests. A network element along the path of the Interest with a matching Content Object may cache and return that object, satisfying the Interest. The Content Object follows the reverse path of the Interest to the origin(s) of the Interest. A Content Object contains, among other information, the same HSVLI, the object's payload, and cryptographic information used to bind the HSVLI to the payload.
The terms used in the present disclosure are generally defined as follows (but their interpretation are not limited to such):
As mentioned before, an HSVLI indicates a piece of content, is hierarchically structured, and includes contiguous components ordered from a most general level to a most specific level. The length of a respective HSVLI is not fixed. In content-centric networks, unlike a conventional IP network, a packet may be identified by an HSVLI. For example, “abcd/bob/papers/ccn/news” could be the name of the content and identifies the corresponding packet(s); i.e., the “news” article from the “ccn” collection of papers for a user named “Bob” at the organization named “ABCD.” To request a piece of content, a node expresses (e.g., broadcasts) an interest in that content by the content's name. An interest in a piece of content can be a query for the content according to the content's name or identifier. The content, if available in the network, is routed back to it from any node that stores the content. The routing infrastructure intelligently propagates the interest to the prospective nodes that are likely to have the information and then carries available content back along the path which the interest traversed.
In accordance with an embodiment of the present invention, a consumer can generate an Interest in a piece of content and then send that Interest to a node in network 180. The piece of content can be stored at a node in network 180 by a publisher or content provider, who can be located inside or outside the network. For example, in
In network 180, any number of intermediate nodes (nodes 100-145) in the path between a content holder (node 130) and the Interest generation node (node 105) can participate in caching local copies of the content as it travels across the network. Caching reduces the network load for a second subscriber located in proximity to other subscribers by implicitly sharing access to the locally cached content
Hash Forwarding
Hash forwarding relies on each node using the same hash function to encode name prefixes and compute similarity hashes. The hash function and its usage for Hash Forwarding is described below.
In general, a CCN packet, either for an interest or content object, has a header that includes a Similarity Hash (SH) and a Forwarding Hash (FH). SH is used to uniquely identify a piece of content, and can be a hash of the name and one or more fields in the packet. In one embodiment, SH is only computed by the source node that initiates an Interest, and optionally verified by an authoritative source node generating content or responding from a long-term repository. Any two Interests containing the same SH are considered to contain a request for the same piece of content. Any Content Object packet that contains the same SH is considered to be a correct response to the corresponding Interest. In essence, SH can be used in place of the name for purposes of identifying a piece of content.
FH is computed based on one or more components of an Interest packet's name. In general, the source node of an Interest packet may compute FH based on the highest-level hierarchy of the name components (wherein the highest hierarchy is “/”). As the Interest packet travels through the network at each forwarder, the FH may or may not be updated based on the longest match conducted at each forwarder. Every time the FH is updated, it is updated to a hash that corresponds to a more specific subset of the name components. For example, for an Interest packet with a name “/apple/pie/is/good,” at the source node a packet's FH might be H{/}. As the packet is forwarded through the network, this FH can be updated to H{/apple/pie/is} and later to H{/apple/pie/is/good}. In general, the FH of a packet could become more or less specific with respect to the name components (which means the match to the name becomes “longer” or “shorter”) along the data path toward the destination.
The high-level of CCN hash forwarding operates as follows. A node issues an Interest for a Content Object and receives back at most one Content Object per Interest it sends. The Content Object's name is expected to be equal to or at least match a suffix of the Interest name, and to satisfy the various selectors in the Interest. In embodiments of the present invention, the system speeds up this processing by pre-computing the SH and longest-matching prefix (LMP) FH. The assumption is that the LMP FH does not change frequently in-route, and that intermediate nodes do not need to do much expensive longest match for CCN flatnames. In particular, a forwarder does not necessarily evaluate the name or selectors when matching content in its Content Store (which serves as a cache for previously seen Content Objects). It may use exact match on the SH.
A forwarder typically maintains several data structures: The Pending Interest Table (PIT) tracks outstanding Interests the forwarder has seen, for which the forwarder is awaiting a response. It also aggregates similar Interests (Interest with the same Similarity Hash), so one Content Object may be replicated and forwarded to multiple reverse paths corresponding to multiple pending Interests. The PIT tracks the interfaces out of which an Interest has been sent and ensures that similar Interests are not sent multiple times out the same interfaces. The PIT also ensures that similar Interests can flow in all directions. A forwarder, for example, with three interfaces 1, 2 and 3, may forward an interest received from interface 1 toward interfaces 2 and 3. At a later time, it receives a similar Interest from Interface 2. It may forward that Interest out of interface 1, but not 3.
The Content Store (CS) is an optional component. It stores recently seen or high-value Content Objects so later requests for the same object can be answered without forwarding an Interest. Cache policy and retention policy can be applied.
The Forwarding Information Base (FIB) contains information indicating the Interest forwarding routes. Typically, a routing protocol is used to populate the FIB. In one embodiment, the entries in the FIB are indexed based on the Forwarding Hashes.
In general, a forwarder matches both the SH and FH of an Interest on the return path of a Content Object. This is because a malicious user could put in an SH for /popular/content and an FH for a /colluding/site, for example. The content object form /colluding/site would have malicious content, but an SH for /popular/content would be benign. If forwarders do not validate that the Content Object matches the full pending Interest with both SH and FH, and only reverse-path forwards with the SH, the malicious content could pollute the network.
To summarize the behavior of forwarding, an Interest is forwarded based on its FH. If an intermediate node has a more specific route (i.e., a forwarding entry that matches a longer portion of the name), it may update the FH to the more specific hash. When a Content Object is returned, an intermediate node will re-swap the FH label. When an intermediate node receives a Content Object, it verifies that it came from the expected direction, based on the PIT entry and SH/FH headers. An exception to this is if an Interest was routed along the default route (an empty FH), then the FH header in the Content Object is not swapped.
A PIT entry stores the SH, which is invariant in forwarding, the ingress FH, and the egress FH. The egress FH matches a Content Object's FH when it is received, and the ingress FH is label swapped to the Content Object when it is reverse-path forwarded toward the owner of the Interest. It is possible that the PIT stores multiple ingress FH's.
During operation, when a node creates an Interest, the node encapsulates the Interest in a header. It computes the Similarity Hash and places it in the header's SH field. If the node has knowledge of the proper Forwarding Hash, it places the FH in the FH field. The node then sends the Interest packet to the next-hop forwarder.
A node may obtain the FH in several ways: hash the first name component; use a directory service; use the FH returned in a Content Object from a previous Interest for the same prefix; or encode the FH in a specific link format.
When a forwarder receives an Interest on an ingress interface, it performs the following actions: The forwarder looks up the SH/FH in the PIT. If no entry exists, it creates a PIT entry for the Interest, then proceeds to check the Content Store. To create a PIT entry, the forwarder records the SH and FH of the Interest and notes the ingress port on which the Interest is received. If the remaining time of the PIT entry is less than the Interest's requested holdtime, the forwarder can extend the PIT entry's remaining time. Note that the holdtime is a suggested maximum time to hold the Interest in a PIT. The forwarder then proceeds to forward the Interest.
If a forwarder implements a Content Store, it can lookup the FH in the FIB, and determine if there is a more specific route FH′ (which is an FH corresponding to a longer, or more specific, portion of the name). If not, set FH′=FH. The forwarder then matches the SH and FH′ in the Content Store. If there is an exact match, the forwarder returns the Content Object and consumes the PIT entry. The returned object carries SH/FH, unless FH was the default route, in which case it carries SH/FH′. If there is no exact match in the Content Store, the forwarder forwards the Interest.
To forward the Interest, the forward first looks up the FH in the FIB and finds the longest matching prefix in the FIB, based on the name of the Interest, then forwards the Interest out those ports. The forwarder is precluded from forwarding the Interest on the port from which it is received. Call the longest matching FIB forwarding hash FH′ and the set of egress interfaces E. As an example, if the FIB is a hash table, the forwarder looks up the FH as the key. If the entry exists and it has no children (meaning that there does not exist a longer match with the Interest's name), the forwarder uses that FIB entry. If the entry has one or more children, the forwarder examines the children to determine if a longer match is possible. The forwarder then removes the Interest's ingress interface from E. The forwarder further looks up the SH/FH′ in the PIT. If the Interest's hop limit (as decremented above) is greater than the PIT entries “maximum hop limit”, the forwarder sets the PIT entry's maximum hop limit to the Interest's hop limit, and internally marks the Interest as “hop limit extended.” If the Interest is not marked as “hop limit extended,” the forwarder removes any egress interfaces already used from E. In addition, the forwarder links SH/FH′ to SH/FH, if they are different. This may be a one to many mapping relationship. If E is not empty, the forwarder updates the FH in the interest with the longest matching FIB hash, and then forwards the Interest.
If an end-system content producer receives an Interest, it may create a Content Object that satisfies the body of the Interest and return it along the reverse path. The returned object carries the SH/FH received in the Interest. An end system may verify that the SH is properly calculated to match the body of the Interest.
An intermediate forwarder receiving a Content Object first verifies whether the SH and FH of the received Content Object are in the PIT. If they are not, the forwarder drops the Content Object. The forwarder then verifies that the Content Object arrived from a port over which a corresponding Interest was previously forwarded, or over which the corresponding Interest could have been forwarded. If this condition is not met, the forwarder drops the Content Object.
If the forwarder implements a Content Store, the forwarder adds the object to the store if the object's holdtime permits it. Then the forwarder forwards the object along the reverse path, label swapping the object's FH to the reverse path's FH, except if the reverse path FH was the default route (empty) in which case the forwarder does not change the FH. This is done by following the links from SH/FH′ to SH/FH, if any exists. Subsequently, the forwarder consumes the PIT entries satisfied by the Content Object.
An end system receiving a Content Object should verify that the Content Object actually satisfies the original Interest. It should also verify the integrity of the Content Object's hash and signature.
Holdtime field 202 indicates the holdtime which is a suggested maximum time to hold the message at a forwarder. For an Interest, the holdtime is the desired time to keep the Interest in the PIT until a response comes. For a Content Object, the holdtime is the maximum time to keep the Content Object in the fast response cache.
In one embodiment, the Similarity Hash is only computed by the source node, and optionally verified by an authoritative source node generating content or responding from a long-term repository. The Similarity Hash can use the SHA-256 hashing algorithm.
The Forwarding Hashes can be computed in a similar way. The Forwarding Hash is used and possibly computed by forwarding nodes based on entries in their FIB table. Speed of computation is important, and collision resistance only needs to be good enough to distinguish between allowed routing names. In one embodiment, the Forwarding Hash uses FNV-1a 128-bit [FNV] with the standard FNV_offset and FNV_prime:
To compute a Forwarding Hash over a CCN name, the system can run the FNV-1a 128-bit over each name component using the flatname format, in cumulative order, to the desired number of components.
During operation, end system 300 initiates an Interest for /apple/pie/is/good. Assuming that end system 300 has no knowledge about how to forward the Interest packet, end system 300 forwards the Interest to the default gateway router 302, setting the Interest's FH to H{/}, that is, the FH is computed based on the highest hierarchy “/” in the HSVLI. Gateway router 302 also has no specific routing information on how to forward the Interest for /apple/pie/is/good, so it forwards it to edge router 304 with the same FH. Assuming that edge router 304 has routing information for /apple/pie/is, edge router then replaces the Interest's FH with H{/apple/pie/is}. Subsequently, core routers 306 and 308 can forward the Interest based on this updated FH through core network 300 without having to parse the full HSVLI, using an exact match of the FH in their respective FIB. When the Interest reaches edge router 310, edge router 310 forwards the Interest, based on the same FH=H{/apple/pie/is/good}, to gateway router 312, which is within the enterprise network where content server 314 resides. Since gateway router 312 has the routing information for the full HSVLI /apple/pie/is/good, gateway router 312 replaces the FH with H{/apple/pie/is/good}, and forwards the Interest to content server 314.
When content server 314 returns a Content Object, it sets the Content Object's SH to be the same SH as the Interest, and the FH to be H{/apple/pie/is/good}. Subsequently, the Content Object is reverse-path forwarded back to end system 300. At each hop, the FH of the Content Object is updated so that it matches the FH of the Interest that was previously received on the same link where the Content Object is to be forwarded. For example, at router 312, the Content Object's FH is replaced with H{/apple/pie/is}, and at edge router 304 the FH is again replaced with H{/}. This reverse-path forwarding mechanism ensures that the Content Object travels along the same data path on which the Interest has traveled, and hence can prevent any malicious entity from tampering with or spoofing the returned Content Object.
Next, the system determines whether the Interest's FH is in the FIB (operation 410). If the FH is not in the FIB, the system drops the Interest packet (operation 412). If the FH is in the FIB, the system further determines whether the corresponding FIB entry has a child, which means that the FIB contains a longer prefix match than the current FH indicates (operation 414). If the FIG entry does not have a child, the system forwards the Interest packet based on the egress port indicated by the FIB entry (operation 416). If the FIB entry has a child, the system then updates the Interest packet's FH based on the longer prefix match indicated by the child by rehashing the matched prefix, and forwards the packet accordingly (operation 420).
Child indication column 506 stores an indicator which indicates whether the forwarder has a longer prefix match for the HSVLI associated with the current FH. In one embodiment, child indication column 506 stores a pointer to the longer prefix match, based on which the system can re-compute the FH.
Subsequently, the system determines whether the ingress port on which the Content Object is received matches the FIB entry corresponding to the updated FH (operation 712). If not, the system discards the packet (operation 706). Otherwise, the system forwards the Content Object packet to the ports indicated by the PIT entry (corresponding to ingress port(s) column 604 in
In some embodiments, modules 832, 834, and 836 can be partially or entirely implemented in hardware and can be part of processor 810. Further, in some embodiments, the system may not include a separate processor and memory. Instead, in addition to performing their specific tasks, modules 832, 834, and 836, either separately or in concert, may be part of general- or special-purpose computation engines.
Storage 830 stores programs to be executed by processor 810. Specifically, storage 830 stores a program that implements a system (application) for performing hash-based forwarding of packets with HSVLIs. During operation, the application program can be loaded from storage 830 into memory 820 and executed by processor 810. As a result, system 800 can perform the functions described above. System 800 can be coupled to an optional display 880, keyboard 860, and pointing device 870, and also be coupled via one or more network interfaces to network 882.
The data structures and code described in this detailed description are typically stored on a computer-readable storage medium, which may be any device or medium that can store code and/or data for use by a computer system. The computer-readable storage medium includes, but is not limited to, volatile memory, non-volatile memory, magnetic and optical storage devices such as disk drives, magnetic tape, CDs (compact discs), DVDs (digital versatile discs or digital video discs), or other media capable of storing computer-readable media now known or later developed.
The methods and processes described in the detailed description section can be embodied as code and/or data, which can be stored in a computer-readable storage medium as described above. When a computer system reads and executes the code and/or data stored on the computer-readable storage medium, the computer system performs the methods and processes embodied as data structures and code and stored within the computer-readable storage medium.
Furthermore, methods and processes described herein can be included in hardware modules or apparatus. These modules or apparatus may include, but are not limited to, an application-specific integrated circuit (ASIC) chip, a field-programmable gate array (FPGA), a dedicated or shared processor that executes a particular software module or a piece of code at a particular time, and/or other programmable-logic devices now known or later developed. When the hardware modules or apparatus are activated, they perform the methods and processes included within them.
The above description is presented to enable any person skilled in the art to make and use the embodiments, and is provided in the context of a particular application and its requirements. Various modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present disclosure. Thus, the present invention is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Number | Name | Date | Kind |
---|---|---|---|
817441 | Niesz | Apr 1906 | A |
4309569 | Merkle | Jan 1982 | A |
4921898 | Lenney | May 1990 | A |
5070134 | Oyamada | Dec 1991 | A |
5110856 | Oyamada | May 1992 | A |
5506844 | Rao | Apr 1996 | A |
5629370 | Freidzon | May 1997 | A |
5870605 | Bracho | Feb 1999 | A |
6052683 | Irwin | Apr 2000 | A |
6091724 | Chandra | Jul 2000 | A |
6173364 | Zenchelsky | Jan 2001 | B1 |
6226618 | Downs | May 2001 | B1 |
6233646 | Hahm | May 2001 | B1 |
6332158 | Risley | Dec 2001 | B1 |
6366988 | Skiba | Apr 2002 | B1 |
6574377 | Cahill | Jun 2003 | B1 |
6654792 | Verma | Nov 2003 | B1 |
6667957 | Corson | Dec 2003 | B1 |
6681220 | Kaplan | Jan 2004 | B1 |
6681326 | Son | Jan 2004 | B2 |
6769066 | Botros | Jul 2004 | B1 |
6772333 | Brendel | Aug 2004 | B1 |
6862280 | Bertagna | Mar 2005 | B1 |
6901452 | Bertagna | May 2005 | B1 |
6917985 | Madruga | Jul 2005 | B2 |
6968393 | Chen | Nov 2005 | B1 |
6981029 | Menditto | Dec 2005 | B1 |
7013389 | Srivastava | Mar 2006 | B1 |
7031308 | Garcia-Luna-Aceves | Apr 2006 | B2 |
7061877 | Gummalla | Jun 2006 | B1 |
7206860 | Murakami | Apr 2007 | B2 |
7257837 | Xu | Aug 2007 | B2 |
7287275 | Moskowitz | Oct 2007 | B2 |
7315541 | Housel | Jan 2008 | B1 |
7339929 | Zelig | Mar 2008 | B2 |
7350229 | Lander | Mar 2008 | B1 |
7444251 | Nikovski | Oct 2008 | B2 |
7466703 | Arunachalam | Dec 2008 | B1 |
7472422 | Agbabian | Dec 2008 | B1 |
7496668 | Hawkinson | Feb 2009 | B2 |
7509425 | Rosenberg | Mar 2009 | B1 |
7523016 | Surdulescu | Apr 2009 | B1 |
7543064 | Juncker | Jun 2009 | B2 |
7552233 | Raju | Jun 2009 | B2 |
7555482 | Korkus | Jun 2009 | B2 |
7555563 | Ott | Jun 2009 | B2 |
7567547 | Mosko | Jul 2009 | B2 |
7567946 | Andreoli | Jul 2009 | B2 |
7580971 | Gollapudi | Aug 2009 | B1 |
7623535 | Guichard | Nov 2009 | B2 |
7647507 | Feng | Jan 2010 | B1 |
7660324 | Oguchi | Feb 2010 | B2 |
7685290 | Satapati | Mar 2010 | B2 |
7698463 | Ogier | Apr 2010 | B2 |
7769887 | Bhattacharyya | Aug 2010 | B1 |
7779467 | Choi | Aug 2010 | B2 |
7801177 | Luss | Sep 2010 | B2 |
7816441 | Elizalde | Oct 2010 | B2 |
7831733 | Sultan | Nov 2010 | B2 |
7908337 | Garcia-Luna-Aceves | Mar 2011 | B2 |
7924837 | Shabtay | Apr 2011 | B1 |
7953885 | Devireddy | May 2011 | B1 |
8000267 | Solis | Aug 2011 | B2 |
8010691 | Kollmansberger | Aug 2011 | B2 |
8074289 | Carpentier | Dec 2011 | B1 |
8117441 | Kurien | Feb 2012 | B2 |
8160069 | Jacobson | Apr 2012 | B2 |
8204060 | Jacobson | Jun 2012 | B2 |
8214364 | Bigus | Jul 2012 | B2 |
8224985 | Takeda | Jul 2012 | B2 |
8225057 | Zheng | Jul 2012 | B1 |
8271578 | Sheffi | Sep 2012 | B2 |
8312064 | Gauvin | Nov 2012 | B1 |
8386622 | Jacobson | Feb 2013 | B2 |
8467297 | Liu | Jun 2013 | B2 |
8553562 | Allan | Oct 2013 | B2 |
8572214 | Garcia-Luna-Aceves | Oct 2013 | B2 |
8654649 | Vasseur | Feb 2014 | B2 |
8665757 | Kling | Mar 2014 | B2 |
8667172 | Ravindran | Mar 2014 | B2 |
8688619 | Ezick | Apr 2014 | B1 |
8699350 | Kumar | Apr 2014 | B1 |
8750820 | Allan | Jun 2014 | B2 |
8761022 | Chiabaut | Jun 2014 | B2 |
8762477 | Xie | Jun 2014 | B2 |
8762570 | Qian | Jun 2014 | B2 |
8762707 | Killian | Jun 2014 | B2 |
8767627 | Ezure | Jul 2014 | B2 |
8817594 | Gero | Aug 2014 | B2 |
8826381 | Kim | Sep 2014 | B2 |
8832302 | Bradford | Sep 2014 | B1 |
8836536 | Marwah | Sep 2014 | B2 |
8862774 | Vasseur | Oct 2014 | B2 |
8903756 | Zhao | Dec 2014 | B2 |
8937865 | Kumar | Jan 2015 | B1 |
9071498 | Beser | Jun 2015 | B2 |
9112895 | Lin | Aug 2015 | B1 |
20020010795 | Brown | Jan 2002 | A1 |
20020048269 | Hong | Apr 2002 | A1 |
20020054593 | Morohashi | May 2002 | A1 |
20020077988 | Sasaki | Jun 2002 | A1 |
20020078066 | Robinson | Jun 2002 | A1 |
20020138551 | Erickson | Sep 2002 | A1 |
20020176404 | Girard | Nov 2002 | A1 |
20020188605 | Adya | Dec 2002 | A1 |
20020199014 | Yang | Dec 2002 | A1 |
20030046437 | Eytchison | Mar 2003 | A1 |
20030048793 | Pochon | Mar 2003 | A1 |
20030051100 | Patel | Mar 2003 | A1 |
20030074472 | Lucco | Apr 2003 | A1 |
20030097447 | Johnston | May 2003 | A1 |
20030140257 | Peterka | Jul 2003 | A1 |
20040024879 | Dingman | Feb 2004 | A1 |
20040030602 | Rosenquist | Feb 2004 | A1 |
20040073715 | Folkes | Apr 2004 | A1 |
20040139230 | Kim | Jul 2004 | A1 |
20040221047 | Grover | Nov 2004 | A1 |
20040225627 | Botros | Nov 2004 | A1 |
20040252683 | Kennedy | Dec 2004 | A1 |
20050003832 | Osafune | Jan 2005 | A1 |
20050028156 | Hammond | Feb 2005 | A1 |
20050043060 | Brandenberg | Feb 2005 | A1 |
20050050211 | Kaul | Mar 2005 | A1 |
20050074001 | Mattes | Apr 2005 | A1 |
20050149508 | Deshpande | Jul 2005 | A1 |
20050159823 | Hayes | Jul 2005 | A1 |
20050198351 | Nog | Sep 2005 | A1 |
20050249196 | Ansari | Nov 2005 | A1 |
20050259637 | Chu | Nov 2005 | A1 |
20050262217 | Nonaka | Nov 2005 | A1 |
20050289222 | Sahim | Dec 2005 | A1 |
20060010249 | Sabesan | Jan 2006 | A1 |
20060029102 | Abe | Feb 2006 | A1 |
20060039379 | Abe | Feb 2006 | A1 |
20060051055 | Ohkawa | Mar 2006 | A1 |
20060072523 | Richardson | Apr 2006 | A1 |
20060099973 | Nair | May 2006 | A1 |
20060129514 | Watanabe | Jun 2006 | A1 |
20060133343 | Huang | Jun 2006 | A1 |
20060173831 | Basso | Aug 2006 | A1 |
20060193295 | White | Aug 2006 | A1 |
20060206445 | Andreoli | Sep 2006 | A1 |
20060215684 | Capone | Sep 2006 | A1 |
20060223504 | Ishak | Oct 2006 | A1 |
20060256767 | Suzuki | Nov 2006 | A1 |
20060268792 | Belcea | Nov 2006 | A1 |
20070019619 | Foster | Jan 2007 | A1 |
20070073888 | Madhok | Mar 2007 | A1 |
20070094265 | Korkus | Apr 2007 | A1 |
20070112880 | Yang | May 2007 | A1 |
20070124412 | Narayanaswami | May 2007 | A1 |
20070127457 | Mirtorabi | Jun 2007 | A1 |
20070160062 | Morishita | Jul 2007 | A1 |
20070162394 | Zager | Jul 2007 | A1 |
20070189284 | Kecskemeti | Aug 2007 | A1 |
20070195765 | Heissenbuttel | Aug 2007 | A1 |
20070204011 | Shaver | Aug 2007 | A1 |
20070209067 | Fogel | Sep 2007 | A1 |
20070239892 | Ott | Oct 2007 | A1 |
20070240207 | Belakhdar | Oct 2007 | A1 |
20070245034 | Retana | Oct 2007 | A1 |
20070253418 | Shiri | Nov 2007 | A1 |
20070255699 | Sreenivas | Nov 2007 | A1 |
20070255781 | Li | Nov 2007 | A1 |
20070274504 | Maes | Nov 2007 | A1 |
20070276907 | Maes | Nov 2007 | A1 |
20070294187 | Scherrer | Dec 2007 | A1 |
20080005056 | Stelzig | Jan 2008 | A1 |
20080010366 | Duggan | Jan 2008 | A1 |
20080037420 | Tang | Feb 2008 | A1 |
20080043989 | Furutono | Feb 2008 | A1 |
20080046340 | Brown | Feb 2008 | A1 |
20080059631 | Bergstrom | Mar 2008 | A1 |
20080080440 | Yarvis | Apr 2008 | A1 |
20080101357 | Iovanna | May 2008 | A1 |
20080107034 | Jetcheva | May 2008 | A1 |
20080123862 | Rowley | May 2008 | A1 |
20080133583 | Artan | Jun 2008 | A1 |
20080133755 | Pollack | Jun 2008 | A1 |
20080151755 | Nishioka | Jun 2008 | A1 |
20080159271 | Kutt | Jul 2008 | A1 |
20080186901 | Itagaki | Aug 2008 | A1 |
20080200153 | Fitzpatrick | Aug 2008 | A1 |
20080215669 | Gaddy | Sep 2008 | A1 |
20080216086 | Tanaka | Sep 2008 | A1 |
20080243992 | Jardetzky | Oct 2008 | A1 |
20080256359 | Kahn | Oct 2008 | A1 |
20080270618 | Rosenberg | Oct 2008 | A1 |
20080271143 | Stephens | Oct 2008 | A1 |
20080287142 | Keighran | Nov 2008 | A1 |
20080288580 | Wang | Nov 2008 | A1 |
20080320148 | Capuozzo | Dec 2008 | A1 |
20090006659 | Collins | Jan 2009 | A1 |
20090013324 | Gobara | Jan 2009 | A1 |
20090022154 | Kiribe | Jan 2009 | A1 |
20090024641 | Quigley | Jan 2009 | A1 |
20090030978 | Johnson | Jan 2009 | A1 |
20090037763 | Adhya | Feb 2009 | A1 |
20090052660 | Chen | Feb 2009 | A1 |
20090067429 | Nagai | Mar 2009 | A1 |
20090077184 | Brewer | Mar 2009 | A1 |
20090092043 | Lapuh | Apr 2009 | A1 |
20090097631 | Gisby | Apr 2009 | A1 |
20090103515 | Pointer | Apr 2009 | A1 |
20090113068 | Fujihira | Apr 2009 | A1 |
20090144300 | Chatley | Jun 2009 | A1 |
20090157887 | Froment | Jun 2009 | A1 |
20090185745 | Momosaki | Jul 2009 | A1 |
20090193101 | Munetsugu | Jul 2009 | A1 |
20090222344 | Greene | Sep 2009 | A1 |
20090228593 | Takeda | Sep 2009 | A1 |
20090254572 | Redlich | Oct 2009 | A1 |
20090268905 | Matsushima | Oct 2009 | A1 |
20090285209 | Stewart | Nov 2009 | A1 |
20090287835 | Jacobson | Nov 2009 | A1 |
20090288163 | Jacobson | Nov 2009 | A1 |
20090292743 | Bigus | Nov 2009 | A1 |
20090293121 | Bigus | Nov 2009 | A1 |
20090300079 | Shitomi | Dec 2009 | A1 |
20090300407 | Kamath | Dec 2009 | A1 |
20090307333 | Welingkar | Dec 2009 | A1 |
20090323632 | Nix | Dec 2009 | A1 |
20100005061 | Basco | Jan 2010 | A1 |
20100027539 | Beverly | Feb 2010 | A1 |
20100046546 | Ram | Feb 2010 | A1 |
20100057929 | Merat | Mar 2010 | A1 |
20100088370 | Wu | Apr 2010 | A1 |
20100094767 | Miltonberger | Apr 2010 | A1 |
20100098093 | Ejzak | Apr 2010 | A1 |
20100100465 | Cooke | Apr 2010 | A1 |
20100103870 | Garcia-Luna-Aceves | Apr 2010 | A1 |
20100124191 | Vos | May 2010 | A1 |
20100125911 | Bhaskaran | May 2010 | A1 |
20100131660 | Dec | May 2010 | A1 |
20100150155 | Napierala | Jun 2010 | A1 |
20100165976 | Khan | Jul 2010 | A1 |
20100169478 | Saha | Jul 2010 | A1 |
20100169503 | Kollmansberger | Jul 2010 | A1 |
20100180332 | Ben-Yochanan | Jul 2010 | A1 |
20100182995 | Hwang | Jul 2010 | A1 |
20100185753 | Liu | Jul 2010 | A1 |
20100195653 | Jacobson et al. | Aug 2010 | A1 |
20100195654 | Jacobson et al. | Aug 2010 | A1 |
20100195655 | Jacobson | Aug 2010 | A1 |
20100217874 | Anantharaman | Aug 2010 | A1 |
20100232402 | Przybysz | Sep 2010 | A1 |
20100232439 | Dham | Sep 2010 | A1 |
20100235516 | Nakamura | Sep 2010 | A1 |
20100246549 | Zhang | Sep 2010 | A1 |
20100250497 | Redlich | Sep 2010 | A1 |
20100250939 | Adams | Sep 2010 | A1 |
20100268782 | Zombek | Oct 2010 | A1 |
20100272107 | Papp | Oct 2010 | A1 |
20100284309 | Allan | Nov 2010 | A1 |
20100284404 | Gopinath | Nov 2010 | A1 |
20100293293 | Beser | Nov 2010 | A1 |
20100322249 | Thathapudi | Dec 2010 | A1 |
20110013637 | Xue | Jan 2011 | A1 |
20110022812 | vanderLinden | Jan 2011 | A1 |
20110055392 | Shen | Mar 2011 | A1 |
20110055921 | Narayanaswamy | Mar 2011 | A1 |
20110090908 | Jacobson et al. | Apr 2011 | A1 |
20110106755 | Hao | May 2011 | A1 |
20110145597 | Yamaguchi | Jun 2011 | A1 |
20110145858 | Philpott | Jun 2011 | A1 |
20110153840 | Narayana | Jun 2011 | A1 |
20110161408 | Kim | Jun 2011 | A1 |
20110202609 | Chaturvedi | Aug 2011 | A1 |
20110231578 | Nagappan | Sep 2011 | A1 |
20110239256 | Gholmieh | Sep 2011 | A1 |
20110258049 | Ramer | Oct 2011 | A1 |
20110264824 | Venkata Subramanian | Oct 2011 | A1 |
20110265174 | Thornton | Oct 2011 | A1 |
20110271007 | Wang | Nov 2011 | A1 |
20110286457 | Ee | Nov 2011 | A1 |
20110286459 | Rembarz | Nov 2011 | A1 |
20110295783 | Zhao | Dec 2011 | A1 |
20110299454 | Krishnaswamy | Dec 2011 | A1 |
20120011170 | Elad | Jan 2012 | A1 |
20120011551 | Levy | Jan 2012 | A1 |
20120036180 | Thornton | Feb 2012 | A1 |
20120047361 | Erdmann | Feb 2012 | A1 |
20120066727 | Nozoe | Mar 2012 | A1 |
20120106339 | Mishra | May 2012 | A1 |
20120114313 | Phillips | May 2012 | A1 |
20120120803 | Farkas | May 2012 | A1 |
20120136676 | Goodall | May 2012 | A1 |
20120136936 | Quintuna | May 2012 | A1 |
20120136945 | Lee | May 2012 | A1 |
20120137367 | Dupont | May 2012 | A1 |
20120141093 | Yamaguchi | Jun 2012 | A1 |
20120155464 | Kim | Jun 2012 | A1 |
20120158973 | Jacobson | Jun 2012 | A1 |
20120163373 | Lo | Jun 2012 | A1 |
20120179653 | Araki | Jul 2012 | A1 |
20120197690 | Agulnek | Aug 2012 | A1 |
20120198048 | Ioffe | Aug 2012 | A1 |
20120221150 | Arensmeier | Aug 2012 | A1 |
20120224487 | Hui | Sep 2012 | A1 |
20120257500 | Lynch | Oct 2012 | A1 |
20120284791 | Miller | Nov 2012 | A1 |
20120290669 | Parks | Nov 2012 | A1 |
20120290919 | Melnyk | Nov 2012 | A1 |
20120291102 | Cohen | Nov 2012 | A1 |
20120314580 | Hong | Dec 2012 | A1 |
20120317307 | Ravindran | Dec 2012 | A1 |
20120331112 | Chatani | Dec 2012 | A1 |
20130041982 | Shi | Feb 2013 | A1 |
20130051392 | Filsfils | Feb 2013 | A1 |
20130060962 | Wang | Mar 2013 | A1 |
20130073552 | Rangwala | Mar 2013 | A1 |
20130074155 | Huh | Mar 2013 | A1 |
20130091539 | Khurana | Apr 2013 | A1 |
20130110987 | Kim | May 2013 | A1 |
20130111063 | Lee | May 2013 | A1 |
20130151584 | Westphal | Jun 2013 | A1 |
20130163426 | Beliveau | Jun 2013 | A1 |
20130166668 | Byun | Jun 2013 | A1 |
20130173822 | Hong | Jul 2013 | A1 |
20130182568 | Lee | Jul 2013 | A1 |
20130185406 | Choi | Jul 2013 | A1 |
20130197698 | Shah | Aug 2013 | A1 |
20130198119 | Eberhardt, III | Aug 2013 | A1 |
20130219038 | Lee | Aug 2013 | A1 |
20130219081 | Qian | Aug 2013 | A1 |
20130219478 | Mahamuni | Aug 2013 | A1 |
20130223237 | Hui | Aug 2013 | A1 |
20130227166 | Ravindran | Aug 2013 | A1 |
20130242996 | Varvello | Sep 2013 | A1 |
20130250809 | Hui | Sep 2013 | A1 |
20130282854 | Jang | Oct 2013 | A1 |
20130282860 | Zhang | Oct 2013 | A1 |
20130282920 | Zhang | Oct 2013 | A1 |
20130304937 | Lee | Nov 2013 | A1 |
20130329696 | Xu | Dec 2013 | A1 |
20130336323 | Srinivasan | Dec 2013 | A1 |
20130343408 | Cook | Dec 2013 | A1 |
20140003232 | Guichard | Jan 2014 | A1 |
20140006565 | Muscariello | Jan 2014 | A1 |
20140029445 | Hui | Jan 2014 | A1 |
20140032714 | Liu | Jan 2014 | A1 |
20140040505 | Barton | Feb 2014 | A1 |
20140074730 | Arensmeier | Mar 2014 | A1 |
20140075567 | Raleigh | Mar 2014 | A1 |
20140082135 | Jung | Mar 2014 | A1 |
20140089454 | Jeon | Mar 2014 | A1 |
20140096249 | Dupont | Apr 2014 | A1 |
20140129736 | Yu | May 2014 | A1 |
20140136814 | Stark | May 2014 | A1 |
20140140348 | Perlman | May 2014 | A1 |
20140143370 | Vilenski | May 2014 | A1 |
20140146819 | Bae | May 2014 | A1 |
20140149733 | Kim | May 2014 | A1 |
20140156396 | deKozan | Jun 2014 | A1 |
20140165207 | Engel | Jun 2014 | A1 |
20140172783 | Suzuki | Jun 2014 | A1 |
20140172981 | Kim | Jun 2014 | A1 |
20140173034 | Liu | Jun 2014 | A1 |
20140192717 | Liu | Jul 2014 | A1 |
20140195328 | Ferens | Jul 2014 | A1 |
20140195666 | Dumitriu | Jul 2014 | A1 |
20140233575 | Xie | Aug 2014 | A1 |
20140237085 | Park | Aug 2014 | A1 |
20140280823 | Varvello | Sep 2014 | A1 |
20140281489 | Peterka | Sep 2014 | A1 |
20140281505 | Zhang | Sep 2014 | A1 |
20140282816 | Xie | Sep 2014 | A1 |
20140289325 | Solis | Sep 2014 | A1 |
20140289790 | Wilson | Sep 2014 | A1 |
20140314093 | You | Oct 2014 | A1 |
20140365550 | Jang | Dec 2014 | A1 |
20150006896 | Franck | Jan 2015 | A1 |
20150018770 | Baran | Jan 2015 | A1 |
20150032892 | Narayanan | Jan 2015 | A1 |
20150063802 | Bahadur | Mar 2015 | A1 |
20150095481 | Ohnishi | Apr 2015 | A1 |
20150095514 | Yu | Apr 2015 | A1 |
20150188770 | Naiksatam | Jul 2015 | A1 |
Number | Date | Country |
---|---|---|
1720277 | Jun 1967 | DE |
19620817 | Nov 1997 | DE |
0295727 | Dec 1988 | EP |
0757065 | Jul 1996 | EP |
1077422 | Feb 2001 | EP |
1384729 | Jan 2004 | EP |
2124415 | Nov 2009 | EP |
2214357 | Aug 2010 | EP |
03005288 | Jan 2003 | WO |
03042254 | May 2003 | WO |
03049369 | Jun 2003 | WO |
03091297 | Nov 2003 | WO |
2007113180 | Oct 2007 | WO |
2007144388 | Dec 2007 | WO |
2011049890 | Apr 2011 | WO |
Entry |
---|
Jacobson, Van et al., “Content-Centric Networking, Whitepaper Describing Future Assurable Global Networks”, Palo Alto Research Center, Inc., Jan. 30, 2007, pp. 1-9. |
Koponen, Teemu et al., “A Data-Oriented (and Beyond) Network Architecture”, SIGCOMM '07, Aug. 27-31, 2007, Kyoto, Japan, XP-002579021, p. 181-192. |
Fall, K. et al., “DTN: an architectural retrospective”, Selected areas in communications, IEEE Journal on, vol. 28, No. 5, Jun. 1, 2008, pp. 828-835. |
Gritter, M. et al., ‘An Architecture for content routing support in the Internet’, Proceedings of 3rd Usenix Symposium on Internet Technologies and Systems, 2001, pp. 37-48. |
“CCNx,” http://ccnx.org/. downloaded Mar. 11, 2015. |
“Content Delivery Network”, Wikipedia, Dec. 10, 2011, http://en.wikipedia.org/w/index.php?title=Content—delivery—network&oldid=465077460. |
“Digital Signature” archived on Aug. 31, 2009 at http://web.archive.org/web/20090831170721/http://en.wikipedia.org/wiki/Digital—signature. |
“Introducing JSON,” http://www.json.org/. downloaded Mar. 11, 2015. |
“Microsoft PlayReady,” http://www.microsoft.com/playready/.downloaded Mar. 11, 2015. |
“Pursuing a pub/sub internet (PURSUIT),” http://www.fp7-pursuit.ew/PursuitWeb/. downloaded Mar. 11, 2015. |
“The FP7 4WARD project,” http://www.4ward-project.eu/. downloaded Mar. 11, 2015. |
A. Broder and A. Karlin, “Multilevel Adaptive Hashing”, Jan. 1990, pp. 43-53. |
Detti, Andrea, et al. “CONET: a content centric inter-networking architecture.” Proceedings of the ACM SIGCOMM workshop on Information-centric networking. ACM, 2011. |
A. Wolman, M. Voelker, N. Sharma N. Cardwell, A. Karlin, and H.M. Levy, “On the scale and performance of cooperative web proxy caching,” ACM SIGHOPS Operating Systems Review, vol. 33, No. 5, pp. 16-31, Dec. 1999. |
Afanasyev, Alexander, et al. “Interest flooding attack and countermeasures in Named Data Networking.” IFIP Networking Conference, 2013. IEEE, 2013. |
Ao-Jan Su, David R. Choffnes, Aleksandar Kuzmanovic, and Fabian E. Bustamante. Drafting Behind Akamai: Inferring Network Conditions Based on CDN Redirections. IEEE/ACM Transactions on Networking {Feb. 2009). |
B. Ahlgren et al., ‘A Survey of Information-centric Networking’ IEEE Commun. Magazine, Jul. 2012, pp. 26-36. |
Bari, MdFaizul, et al. ‘A survey of naming and routing in information-centric networks.’ Communications Magazine, IEEE 50.12 (2012): 44-53. |
Baugher, Mark et al., “Self-Verifying Names for Read-Only Named Data”, 2012 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Mar. 2012, pp. 274-279. |
Brambley, Michael, A novel, low-cost, reduced-sensor approach for providing smart remote monitoring and diagnostics for packaged air conditioners and heat pumps. Pacific Northwest National Laboratory, 2009. |
C.A. Wood and E. Uzun, “Flexible end-to-end content security in CCN,” in Proc. IEEE CCNC 2014, Las Vegas, CA, USA, Jan. 2014. |
Carzaniga, Antonio, Matthew J. Rutherford, and Alexander L. Wolf. ‘A routing scheme for content-based networking.’ INFOCOM 2004. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies. vol. 2. IEEE, 2004. |
Cho, Jin-Hee, Ananthram Swami, and Ray Chen. “A survey on trust management for mobile ad hoc networks.” Communications Surveys & Tutorials, IEEE 13.4 (2011): 562-583. |
Compagno, Alberto, et al. “Poseidon: Mitigating interest flooding DDoS attacks in named data networking.” Local Computer Networks (LCN), 2013 IEEE 38th Conference on. IEEE, 2013. |
Conner, William, et al. “A trust management framework for service-oriented environments.” Proceedings of the 18th international conference on World wide web. ACM, 2009. |
Content Centric Networking Project (CCN) [online], http://ccnx.org/releases/latest/doc/technical/, Downloaded Mar. 9, 2015. |
Content Mediator Architecture for Content-aware Networks (COMET) Project [online], http://www.comet-project.org/, Downloaded Mar. 9, 2015. |
D. Boneh and M. Franklin. Identity-Based Encryption from the Weil Pairing. Advances in Cryptology—CRYPTO 2001, vol. 2139, Springer Berlin Heidelberg (2001). |
D.K. Smetters, P. Golle, and J.D. Thornton, “CCNx access control specifications,” PARC, Tech. Rep., Jul. 2010. |
Dabirmoghaddam, Ali, Maziar Mirzazad Barijough, and J. J. Garcia-Luna-Aceves. ‘Understanding optimal caching and opportunistic caching at the edge of information-centric networks.’ Proceedings of the 1st international conference on Information-centric networking. ACM, 2014. |
Detti et al., “Supporting the Web with an information centric network that routes by name”, Aug. 2012, Computer Networks 56, pp. 3705-3702. |
Dijkstra, Edsger W., Wim HJ Feijen, and A—J M. Van Gasteren. “Derivation of a termination detection algorithm for distributed computations.” Control Flow and Data Flow: concepts of distributed programming. Springer Berlin Heidelberg, 1986. 507-512. |
E. Rescorla and N. Modadugu, “Datagram transport layer security,” IETF RFC 4347, Apr. 2006. |
E.W. Dijkstra, W. Feijen, and A.J.M. Van Gasteren, “Derivation of a Termination Detection Algorithm for Distributed Computations,” Information Processing Letter, vol. 16, No. 5, 1983. |
Fayazbakhsh, S. K., Lin, Y., Tootoonchian, A., Ghodsi, A., Koponen, T., Maggs, B., & Shenker, S. {Aug. 2013). Less pain, most of the gain: Incrementally deployable ICN. In ACM SIGCOMM Computer Communication Review (vol. 43, No. 4, pp. 147-158). ACM. |
G. Ateniese, K. Fu, M. Green, and S. Hohenberger. Improved Proxy Reencryption Schemes with Applications to Secure Distributed Storage. In the 12th Annual Network and Distributed System Security Sympo. |
G. Tyson, S. Kaune, S. Miles, Y. El-Khatib, A. Mauthe, and A. Taweel, “A trace-driven analysis of caching in content-centric networks,” in Proc. IEEE ICCCN 2012, Munich, Germany, Jul.-Aug. 2012, pp. 1-7. |
G. Wang, Q. Liu, and J. Wu, “Hierarchical attribute-based encryption for fine-grained access control in cloud storage services,” in Proc. ACM CCS 2010, Chicago, IL, USA, Oct. 2010, pp. 735-737. |
G. Xylomenos et al., “A Survey of Information-centric Networking Research,” IEEE Communication Surveys and Tutorials, Jul. 2013. |
Garcia, Humberto E., Wen-Chiao Lin, and Semyon M. Meerkov. “A resilient condition assessment monitoring system.” Resilient Control Systems (ISRCS), 2012 5th International Symposium on. IEEE, 2012. |
Garcia-Luna-Aceves, Jose J. ‘A unified approach to loop-free routing using distance vectors or link states.’ ACM SIGCOMM Computer Communication Review. vol. 19. No. 4. ACM, 1989. |
Garcia-Luna-Aceves, Jose J. ‘Name-Based Content Routing in Information Centric Networks Using Distance Information’ Proc ACM ICN 2014, Sep. 2014. |
Ghali, Cesar, GeneTsudik, and Ersin Uzun. “Needle in a Haystack: Mitigating Content Poisoning in Named-Data Networking.” Proceedings of NDSS Workshop on Security of Emerging Networking Technologies (SENT). 2014. |
Ghodsi, Ali, et al. “Information-centric networking: seeing the forest for the trees.” Proceedings of the 10th ACM Workshop on Hot Topics in Networks. ACM, 2011. |
Ghodsi, Ali, et al. “Naming in content-oriented architectures.” Proceedings of the ACM SIGCOMM workshop on Information-centric networking. ACM, 2011. |
Gupta, Anjali, Barbara Liskov, and Rodrigo Rodrigues. “Efficient Routing for Peer-to-Peer Overlays.” NSDI. vol. 4. 2004. |
Heckerman, David, John S. Breese, and Koos Rommelse. “Decision-Theoretic Troubleshooting.” Communications of the ACM. 1995. |
Heinemeier, Kristin, et al. “Uncertainties in Achieving Energy Savings from HVAC Maintenance Measures in the Field.” ASHRAE Transactions 118.Part 2 {2012). |
Herlich, Matthias et al., “Optimizing Energy Efficiency for Bulk Transfer Networks”, Apr. 13, 2010, pp. 1-3, retrieved for the Internet: URL:http://www.cs.uni-paderborn.de/fileadmin/informationik/ag-karl/publications/miscellaneous/optimizing.pdf (retrieved on Mar. 9, 2012). |
Hogue et al., ‘NLSR: Named-data Link State Routing Protocol’, Aug. 12, 2013, ICN 2013, pp. 15-20. |
I. Psaras, R.G. Clegg, R. Landa, W.K. Chai, and G. Pavlou, “Modelling and evaluation of CCN-caching trees,” in Proc. IFIP Networking 2011, Valencia, Spain, May 2011, pp. 78-91. |
Intanagonwiwat, Chalermek, Ramesh Govindan, and Deborah Estrin. ‘Directed diffusion: a scalable and robust communication paradigm for sensor networks.’ Proceedings of the 6th annual international conference on Mobile computing and networking. ACM, 2000. |
J. Aumasson and D. Bernstein, “SipHash: a fast short-input PRF”, Sep. 18, 2012. |
J. Bethencourt, A, Sahai, and B. Waters, ‘Ciphertext-policy attribute-based encryption,’ in Proc. IEEE Security & Privacy 2007, Berkeley, CA, USA, May 2007, pp. 321-334. |
J. Hur, “Improving security and efficiency in attribute-based data sharing,” IEEE Trans. Knowledge Data Eng., vol. 25, No. 10, pp. 2271-2282, Oct. 2013. |
J. Shao and Z. Cao. CCA—Secure Proxy Re-Encryption without Pairings. Public Key Cryptography. Springer Lecture Notes in Computer Sciencevol. 5443 (2009). |
V. Jacobson et al., ‘Networking Named Content,’ Proc. IEEE CoNEXT '09, Dec. 2009. |
Jacobson, Van et al. ‘VoCCN: Voice Over Content-Centric Networks.’ Dec. 1, 2009. ACM ReArch'09. |
Jacobson et al., “Custodian-Based Information Sharing,” Jul. 2012, IEEE Communications Magazine: vol. 50 Issue 7 (p. 3843). |
Ji, Kun, et al. “Prognostics enabled resilient control for model-based building automation systems.” Proceedings of the 12th Conference of International Building Performance Simulation Association. 2011. |
K. Liang, L. Fang, W. Susilo, and D.S. Wong, “A Ciphertext-policy attribute-based proxy re-encryption with chosen-ciphertext security,” in Proc. INCoS 2013, Xian, China, Sep. 2013, pp. 552-559. |
Katipamula, Srinivas, and Michael R. Brambley. “Review article: methods for fault detection, diagnostics, and prognostics for building systemsa review, Part I.” HVAC&R Research 11.1 (2005): 3-25. |
Katipamula, Srinivas, and Michael R. Brambley. “Review article: methods for fault detection, diagnostics, and prognostics for building systemsa review, Part II.” HVAC&R Research 11.2 (2005): 169-187. |
L. Wang et al., ‘OSPFN: An OSPF Based Routing Protocol for Named Data Networking,’ Technical Report NDN-0003, 2012. |
L. Zhou, V. Varadharajan, and M. Hitchens, “Achieving secure role-based access control on encrypted data in cloud storage,” IEEE Trans. Inf. Forensics Security, vol. 8, No. 12, pp. 1947-1960, Dec. 2013. |
Li, Wenjia, Anupam Joshi, and Tim Finin. “Coping with node misbehaviors in ad hoc networks: A multi-dimensional trust management approach.” Mobile Data Management (MDM), 2010 Eleventh International Conference on. IEEE, 2010. |
Lopez, Javier, et al. “Trust management systems for wireless sensor networks: Best practices.” Computer Communications 33.9 (2010): 1086-1093. |
M. Blaze, G. Bleumer, and M. Strauss, ‘Divertible protocols and atomic prosy cryptography,’ in Proc. EUROCRYPT 1998, Espoo, Finland, May-Jun. 1998, pp. 127-144. |
M. Green and G. Ateniese, “Identity-based proxy re-encryption,” in Proc. ACNS 2007, Zhuhai, China, Jun. 2007, pp. 288-306. |
M. Ion, J. Zhang, and E.M. Schooler, “Toward content-centric privacy in ICN: Attribute-based encryption and routing,” in Proc. ACM SIGCOMM ICN 2013, Hong Kong, China, Aug. 2013, pp. 39-40. |
M. Naor and B. Pinkas “Efficient trace and revoke schemes,” in Proc. FC 2000, Anguilla, British West Indies, Feb. 2000, pp. 1-20. |
M. Nystrom, S. Parkinson, A. Rusch, and M. Scott, “PKCS#12: Personal information exchange syntax v. 1.1,” IETF RFC 7292, K. Moriarty, Ed., Jul 2014. |
M. Parsa and J.J. Garcia-Luna-Aceves, “A Protocol for Scalable Loop-free Multicast Routing.” IEEE JSAC, Apr. 1997. |
M. Walfish, H. Balakrishnan, and S. Shenker, “Untangling the web from DNS,” in Proc. USENIX NSDI 2004, Oct. 2010, pp. 735-737. |
Mahadevan, Priya, et al. “Orbis: rescaling degree correlations to generate annotated internet topologies.” ACM SIGCOMM Computer Communication Review. vol. 37. No. 4. ACM, 2007. |
Mahadevan, Priya, et al. “Systematic topology analysis and generation using degree correlations.” ACM SIGCOMM Computer Communication Review. vol. 36. No. 4. ACM, 2006. |
Matocha, Jeff, and Tracy Camp. ‘A taxonomy of distributed termination detection algorithms.’ Journal of Systems and Software 43.3 (1998): 207-221. |
Matted Varvello et al., “Caesar: A Content Router for High Speed Forwarding”, ICN 2012, Second Edition on Information-Centric Networking, New York, Aug. 2012. |
McWilliams, Jennifer A., and Iain S. Walker. “Home Energy Article: A Systems Approach to Retrofitting Residential HVAC Systems.” Lawrence Berkeley National Laboratory (2005). |
Merindol et al., “An efficient algorithm to enable path diversity in link state routing networks”, Jan. 10, Computer Networks 55 (2011), pp. 1132-1140. |
Mobility First Project [online], http://mobilityfirst.winlab.rutgers.edu/, Downloaded Mar. 9, 2015. |
Narasimhan, Sriram, and Lee Brownston. “HyDE—A General Framework for Stochastic and Hybrid Modelbased Diagnosis.” Proc. DX 7 (2007): 162-169. |
NDN Project [online], http://www.named-data.net/, Downloaded Mar. 9, 2015. |
Omar, Mawloud, Yacine Challal, and Abdelmadjid Bouabdallah. “Certification-based trust models in mobile ad hoc networks: A survey and taxonomy.” Journal of Network and Computer Applications 35.1 (2012): 268-286. |
P. Mahadevan, E.Uzun, S. Sevilla, and J. Garcia-Luna-Aceves, “CCN-krs: A key resolution service for ccn,” in Proceedings of the 1st International Conference on Information-centric Networking, Ser. INC 14 New York, NY, USA: ACM, 2014, pp. 97-106. [Online]. Available: http://doi.acm.org/10.1145/2660129.2660154. |
R. H. Deng, J. Weng, S. Liu, and K. Chen. Chosen-Ciphertext Secure Proxy Re-Encryption without Pairings. CANS. Spring Lecture Notes in Computer Science vol. 5339 (2008). |
Rosenberg, J. “Interactive Connectivity Establishment (ICE): A Protocol for Network Address Translator (NAT) Traversal for Offer/Answer Protocols”, Apr. 2010, pp. 1-117. |
S. Chow, J. Weng, Y. Yang, and R. Deng. Efficient Unidirectional Proxy Re-Encryption. Progress in Cryptology—AFRICACRYPT 2010. Springer Berlin Heidelberg (2010). |
S. Deering, “Multicast Routing in Internetworks and Extended LANs,” Proc. ACM SIGCOMM '88, Aug. 1988. |
S. Deering et al., “The PIM architecture for wide-area multicast routing,” IEEE/ACM Trans, on Networking, vol. 4, No. 2, Apr. 1996. |
S. Jahid, P. Mittal, and N. Borisov, “EASiER: Encryption-based access control in social network with efficient revocation,” in Proc. ACM ASIACCS 2011, Hong Kong, China, Mar. 2011, pp. 411-415. |
S. Kamara and K. Lauter, “Cryptographic cloud storage,” in Proc. FC 2010, Tenerife, Canary Islands, Spain, Jan. 2010, pp. 136-149. |
S. Kumar et al. “Peacock Hashing: Deterministic and Updatable Hashing for High Performance Networking,” 2008, pp. 556-564. |
S. Misra, R. Tourani, and N.E. Majd, “Secure content delivery in information-centric networks: Design, implementation, and analyses,” in Proc. ACM SIGCOMM ICN 2013, Hong Kong, China, Aug. 2013, pp. 73-78. |
S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving secure, scalable, and fine-grained data access control in cloud computing,” in Proc. IEEE INFOCOM 2010, San Diego, CA, USA, Mar. 2010, pp. 1-9. |
S.J. Lee, M. Gerla, and C. Chiang, “On-demand Multicast Routing Protocol in Multihop Wireless Mobile Networks,” Mobile Networks and Applications, vol. 7, No. 6, 2002. |
Sandvine, Global Internet Phenomena Report—Spring 2012. Located online at http://www.sandvine.com/downloads/documents/Phenomenal H 2012/Sandvine Global Internet Phenomena Report 1H 2012.pdf. |
Scalable and Adaptive Internet Solutions (SAIL) Project [online], http://sail-project.eu/ Downloaded Mar. 9, 2015. |
Schein, Jeffrey, and Steven T. Bushby. A Simulation Study of a Hierarchical, Rule-Based Method for System-Level Fault Detection and Diagnostics in HVAC Systems. US Department of Commerce,[Technology Administration], National Institute of Standards and Technology, 2005. |
Shani, Guy, Joelle Pineau, and Robert Kaplow. “A survey of point-based POMDP solvers.” Autonomous Agents and Multi-Agent Systems 27.1 (2013): 1-51. |
Sheppard, John W., and Stephyn GW Butcher. “A formal analysis of fault diagnosis with d-matrices.” Journal of Electronic Testing 23.4 (2007): 309-322. |
Shih, Eugene et al., ‘Wake on Wireless: An Event Driven Energy Saving Strategy for Battery Operated Devices’, Sep. 23, 2002, pp. 160-171. |
Shneyderman, Alex et al., ‘Mobile VPN: Delivering Advanced Services in Next Generation Wireless Systems’, Jan. 1, 2003, pp. 3-29. |
Solis, Ignacio, and J. J. Garcia-Luna-Aceves. ‘Robust content dissemination in disrupted environments.’ proceedings of the third ACM workshop on Challenged networks. ACM, 2008. |
Sun, Ying, and Daniel S. Weld. “A framework for model-based repair.” AAAI. 1993. |
T. Ballardie, P. Francis, and J. Crowcroft, “Core Based Trees (CBT),” Proc. ACM SIGCOMM '88, Aug. 1988. |
T. Dierts, “The transport layer security (TLS) protocol version 1.2,” IETF RFC 5246, 2008. |
T. Koponen, M. Chawla, B.-G. Chun, A. Ermolinskiy, K.H. Kim, S. Shenker, and I. Stoica, ‘A data-oriented (and beyond) network architecture,’ ACM SIGCOMM Computer Communication Review, vol. 37, No. 4, pp. 181-192, Oct. 2007. |
The Despotify Project (2012). Available online at http://despotify.sourceforge.net/. |
V. Goyal, 0. Pandey, A. Sahai, and B. Waters, “Attribute-based encryption for fine-grained access control of encrypted data,” in Proc. ACM CCS 2006, Alexandria, VA, USA, Oct.-Nov. 2006, pp. 89-98. |
V. Jacobson, D.K. Smetters, J.D. Thornton, M.F. Plass, N.H. Briggs, and R.L. Braynard, ‘Networking named content,’ in Proc. ACM CoNEXT 2009, Rome, Italy, Dec. 2009, pp. 1-12. |
V. K. Adhikari, S. Jain, Y. Chen, and Z.-L. Zhang. Vivisecting Youtube:An Active Measurement Study. In INFOCOM12 Mini-conference (2012). |
Verma, Vandi, Joquin Fernandez, and Reid Simmons. “Probabilistic models for monitoring and fault diagnosis.” The Second IARP and IEEE/RAS Joint Workshop on Technical Challenges for Dependable Robots in Human Environments. Ed. Raja Chatila. Oct. 2002. |
Vijay Kumar Adhikari, Yang Guo, Fang Hao, Matteo Varvello, Volker Hilt, Moritz Steiner, and Zhi-Li Zhang. Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery. In the Proceedings of IEEE INFOCOM 2012 (2012). |
Vutukury, Srinivas, and J. J. Garcia-Luna-Aceves. A simple approximation to minimum-delay routing. vol. 29. No. 4. ACM, 1999. |
W.-G. Tzeng and Z.-J. Tzeng, “A public-key traitor tracing scheme with revocation using dynamic shares,” in Proc. PKC 2001, Cheju Island, Korea, Feb. 2001, pp. 207-224. |
Waldvogel, Marcel “Fast Longest Prefix Matching: Algorithms, Analysis, and Applications”, A dissertation submitted to the Swiss Federal Institute of Technology Zurich, 2002. |
Walker, Iain S. Best practices guide for residential HVAC Retrofits. No. LBNL-53592. Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US), 2003. |
Wang, Jiangzhe et al., “DMND: Collecting Data from Mobiles Using Named Data”, Vehicular Networking Conference, 2010 IEEE, pp. 49-56. |
Xylomenos, George, et al. “A survey of information-centric networking research.” Communications Surveys & Tutorials, IEEE 16.2 (2014): 1024-1049. |
Yi, Cheng, et al. ‘A case for stateful forwarding plane.’ Computer Communications 36.7 (2013): 779-791. |
Zahariadis, Theodore, et al. “Trust management in wireless sensor networks.” European Transactions on Telecommunications 21.4 (2010): 386-395. |
Zhang, et al., “Named Data Networking (NDN) Project”, http://www.parc.com/publication/2709/named-data-networking-ndn-project.html, Oct. 2010, NDN-0001, PARC Tech Report. |
Zhang, Lixia, et al. ‘Named data networking.’ ACM SIGCOMM Computer Communication Review 44.3 {2014): 66-73. |
Soh et al., “Efficient Prefix Updates for IP Router Using Lexicographic Ordering and Updateable Address Set”, Jan. 2008, IEEE Transactions on Computers, vol. 57, No. 1. |
Beben et al., “Content Aware Network based on Virtual Infrastructure”, 2012 13th ACIS International Conference on Software Engineering. |
Biradar et al., “Review of multicast routing mechanisms in mobile ad hoc networks”, Aug. 16, Journal of Network$. |
D. Trossen and G. Parisis, “Designing and realizing and information-centric Internet,” IEEE Communications Magazing, vol. 50, No. 7, pp. 60-67, Jul. 2012. |
Garcia-Luna-Aceves et al., “Automatic Routing Using Multiple Prefix Labels”, 2012, IEEE, Ad Hoc and Sensor Networking Symposium. |
Gasti, Paolo et al., ‘DoS & DDoS in Named Data Networking’, 2013 22nd International Conference on Computer Communications and Networks (ICCCN), Aug. 2013, pp. 1-7. |
Ishiyama, “On the Effectiveness of Diffusive Content Caching in Content-Centric Networking”, Nov. 5, 2012, IEEE, Information and Telecommunication Technologies (APSITT), 2012 9th Asia-Pacific Symposium. |
J. Hur and D.K. Noh, “Attribute-based access control with efficient revocation in data outsourcing systers,” IEEE Trans. Parallel Distrib. Syst, vol. 22, No. 7, pp. 1214-1221, Jul. 2011. |
J. Lotspiech, S. Nusser, and F. Pestoni. Anonymous Trust: Digital Rights Management using Broadcast Encryption. Proceedings of the IEEE 92.6 (2004). |
Kaya et al., “A Low Power Lookup Technique for Multi-Hashing Network Applications”, 2006 IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures, Mar. 2006. |
S. Kamara and K. Lauter. Cryptographic Cloud Storage. Financial Cryptography and Data Security. Springer Berlin Heidelberg (2010). |
RTMP (2009). Available online at http://wwwimages.adobe.com/www.adobe.com/content/dam/Adobe/en/devnet/rtmp/ pdf/rtmp specification 1.0.pdf. |
Hoque et al., “NLSR: Named-data Link State Routing Protocol”, Aug. 12, 2013, ICN'13. |
Nadeem Javaid, “Analysis and design of quality link metrics for routing protocols in Wireless Networks”, PhD Thesis Defense, Dec. 15, 2010, Universete Paris-Est. |
Wetherall, David, “Active Network vision and reality: Lessons form a capsule-based system”, ACM Symposium on Operating Systems Principles, Dec. 1, 1999. pp. 64-79. |
Kulkarni A.B. et al., “Implementation of a prototype active network”, IEEE, Open Architectures and Network Programming, Apr. 3, 1998, pp. 130-142. |
Xie et al. “Collaborative Forwarding and Caching in Content Centric Networks”, Networking 2012. |
Amadeo et al. “Design and Analysis of a Transport-Level Solution for Content-Centric Centric VANETs”, University “Mediterranea” of Reggio Calabria, Jun. 15, 2013. |
Lui et al. (A TLV-Structured Data Naming Scheme for Content-Oriented Networking, pp. 5822-5827, International Workshop on the Network of the Future, Communications (ICC), 2012 IEEE International Conference on Jun. 10-15, 2012). |
Number | Date | Country | |
---|---|---|---|
20150117449 A1 | Apr 2015 | US |