Systems and methods for auditing software usage using a covert key

Information

  • Patent Grant
  • 9129097
  • Patent Number
    9,129,097
  • Date Filed
    Friday, June 18, 2010
    15 years ago
  • Date Issued
    Tuesday, September 8, 2015
    9 years ago
Abstract
System and method for auditing for usage of licensed software in which a client executing the software generates and transmits a license key and a covert key to a server via network connection. The license key is transmitted to the server upon activation of the licensed software at the client. The covert key is generated based on at least a portion of the software code activated at the client and is transmitted to the server at random or at predetermined time intervals after transmission of the licensed key so as to avoid detection by a user. The license and covert keys are each associated with a device fingerprint that uniquely identifies the device transmitting each one of the respective keys. Unauthorized software usage at a client is determined at least when a covert key does not correspond to a device fingerprint having an associated license key.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present disclosure relates to systems and methods for auditing software usage and, more particularly, to auditing software usage using a covert key.


2. Description of the Related Art


Despite substantial advances in technology, software piracy remains a significant threat to software developers and publishers. The increase in broadband Internet access, sprawling geographies and weak institutional infrastructure are among many factors which contribute to the growing use of unlicensed or pirated software. Moreover, it is often difficult to ascertain whether or not a given install or use of software may be properly licensed.


The most common method of sleuthing out pirated or unlicensed software usage is to conduct a software audit. Software audits typically involve simply comparing the number of software licenses purchased by an individual or organization with the actual number of copies of software installed and/or utilized. Software audits are typically conducted by software publishers or third-party entities specializing in conducting such audits.


There are some significant disadvantages associated with software audits. Software audits typically require significant investment of human capital and time. Moreover, software audits are rarely successful in uncovering all unlicensed and pirated uses of software. Thus, what is needed is a more efficient and effective means for conducting software audits.


SUMMARY

The systems and methods described herein provide an improved means for auditing software by utilizing two sets of keys. The first key is a license key that is used during product unlocking or activation and is preferably unique per license or purchase. The second key is the covert key and is unique for a given product, across all licenses.


The client device on which the software is installed sends a license key to an authorization server upon the software being unlocked. The license key is associated with a device fingerprint that uniquely identifies the client device on which the software has been unlocked.


Subsequent to the sending of the license key, a covert key is generated at the client device based on a portion of the software that was unlocked by the license key. This covert key is sent to the authorization server and is also associated with the device fingerprint. Preferably, to avoid detection or observation during unlocking, the covert key is sent to the authorization server after a random interval of time after the sending of the license key and also on a random percent chance basis.


Unauthorized software usage at a client is determined at least when a covert key is not found to correspond to a device fingerprint having an associated license key. Thus if a covert key/device fingerprint pair exists without a license key/device fingerprint pair, where the device fingerprints are the same, this can be considered a pirated activation because the unlocked portion of the software code was executed without the license key code having been executed.


In one embodiment, a system for auditing software usage is described. The system comprises a network interface disposed to receive a device fingerprint associated with a covert key. A memory holds program instructions operable for accessing a database storing a plurality of previously received device fingerprints associated with license keys and determining whether the device fingerprint associated with the covert key corresponds to any one of the plurality of previously received device fingerprints associated with license keys. The system further comprises a processor, in communication with the network interface and the memory, configured for operating the program instructions.


In another embodiment, a method for auditing software usage is described. The method comprises receiving a device fingerprint associated with a covert key, accessing a database storing a plurality of previously received device fingerprints associated with license keys, and determining whether the device fingerprint associated with the covert key corresponds to any one of the plurality of previously received device fingerprints associated with license keys.


In a further embodiment, a method for auditing software usage at a client device is described. The method comprises sending, from the client device, an identifier for the software installed on the client device and a device fingerprint uniquely identifying the client device to an authorization server; receiving a license key operable to unlock at least a portion of the software for use at the client device; generating a covert key based on at least a portion of the software that unlocked by the license key; and sending the covert key and the device fingerprint to the authorization server.


In yet a further embodiment, tangible computer-readable media are provided having stored thereon, computer-executable instructions that, if executed by a client device, cause the client device to perform the methods disclosed herein. Server-side and client-side applications are separately provided.


A more complete understanding of methods and systems disclosed herein will be afforded to those skilled in the art, as well as a realization of additional advantages and objects thereof, by a consideration of the following detailed description. Reference will be made to the appended sheets of drawings which will first be described briefly.





BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, wherein like reference numerals refer to similar components:



FIG. 1 is a block diagram of a system for auditing software usage on a client device in accordance with one embodiment of the invention.



FIG. 2 is a block diagram showing memory allocation for a device fingerprint used in accordance with the invention.



FIG. 3 is a flowchart illustrating a software process for collection of audit data according to another embodiment of the invention.



FIG. 4 is a flow chart illustrating a software process at a client device according to another embodiment of the invention.





Other objects, features and advantages of the present invention will become apparent to those skilled in the art from the following detailed description.


DETAILED DESCRIPTION

A more complete appreciation of the disclosure and many of the attendant advantages will be readily obtained, as the same becomes better understood by reference to the following detailed description of the exemplary embodiments.



FIG. 1 illustrates an authorization server 160 associated with a database 162 which receives audit data from the client device 120 relating to the use of software 105. An access device 180 communicates with the authorization server 160 through a separate communication link 170 or through the network 150 to enable queries of the database 162.


The client device 120 may be any machine or device capable of communication with a network, such as a game console, a personal computer, a server computer, a laptop computer, a tablet computer, a personal digital assistant, a mobile phone, a wireless communication device, an onboard vehicle computer, and the like. While a single client device 120 is shown, the authorization server 160 is configured to establish communication links with multiple client devices so that audit data from each client device 120 can be received and recorded, thus enabling auditing of the software within substantially the entire market for that software.


The executable software 105 is operable by the client device 120 and includes a routine which performs a check to see if a license is granted for the software 105 to run on the client device 120. This is typically done by storing a license or unlock key on the client device 120 which the software 105 uses to verify the license.


If the license key is present, then the license key is compared to the unique hardware configuration of the client device 120. If the hardware identity has not changed, the software or the restricted portions thereof are allowed to continue to run.


On the other hand, if the license key is not present or the hardware identity of the client device has changed, then an authorization process is started, which requests or collects an identifier for the software (e.g., serial number) and generates a device fingerprint. The software identifier and device fingerprint are transmitted to an authorization server 160 or a separate license server, which verifies that a license is granted for the software and sends a license key to the client device 120 to unlock the software or portions thereof. The device fingerprint and license key are stored in a database 162 accessible by the authorization server 160.


The executable software 105 is further configured to initiate the generation of a covert key at predetermined or random time intervals after the unlock has taken place. In a preferred embodiment, the covert key is generated at random time intervals so as to avoid detection or observation by a user. The covert key is generated based on at least the portion of the executable software 105 that was unlocked by the license key. This covert key is associated with a device fingerprint stored in the client device 120 or generated contemporaneously with the covert key. The covert key and device fingerprint pair are then sent to the authorization server 160.


The authorization server 160 accesses a database 162 having stored thereon a plurality of previously received device fingerprints associated with license keys. The authorization server 160 determines whether the device fingerprint associated with the covert key corresponds to any one of the plurality of previously received device fingerprints associated with the license keys. Unauthorized software usage at a client device 120 is determined at least when a covert key is not found to correspond to a device fingerprint having an associated license key. Thus if a covert key/device fingerprint pair exists without a license key/device fingerprint pair, where the device fingerprints are the same, this can be considered a pirated activation because the unlocked portion of the software code was executed without the license key code having been executed.


It is understood that the device fingerprint is generated based on information regarding client device 120 by checking a number of parameters which, collectively, are expected to uniquely identify client device 120. The description below presumes that the software includes a routine which generates the device fingerprint.


The parameters checked may include, for example, hard disk volume name, user name, device name, user password, hard disk initialization date, etc. The collected information includes information that identifies the hardware on which the software is used, such as, for example, CPU number, or unique parameters associated with the firmware in use. The system information may further include system configuration information, such as amount of memory, type of processor, software or operating system serial number, etc. The parameters checked may also include, alternatively or in addition, virtual machine specifications. Examples of virtual machine specifications include, but are not limited to, information relating to virtual processors, virtual BIOS, virtual memory, virtual graphics, virtual IDE drives, virtual SCSI devices, virtual PCI slots, virtual floppy drives, virtual serial (COM) ports, virtual parallel (LPT) ports, virtual keyboard, virtual mouse and drawing tablets, virtual Ethernet card, virtual networking, virtual sound adapter, etc.


Based on the collected information, the routine generates a device fingerprint that uniquely identifies the user's computer. The device fingerprint may be stored in a hidden directory of the device, and/or it may be generated each time a user event occurs, or at any other desired time. The device fingerprint, by virtue of the software being used on the client device 120 or otherwise having access to the client device 120 hardware and file system, is generated by a process which operates on data indicative of the client device 120 configuration and hardware.


The device fingerprint may be generated using a combination of user-configurable and non-user-configurable machine parameters as input to a process that results in the device fingerprint, which may be expressed in digital data as a binary number. Each machine parameter is data determined by a hardware component, software component, or data component specific to the device that the unique identifier pertains to. Machine parameters may be selected based on the target device system configuration such that the resulting device fingerprint has a very high probability (e.g., greater than 99.999%) of being unique to the target device. In addition, the machine parameters may be selected such that the device fingerprint includes at least a stable unique portion up to and including the entire identifier, which has a very high probability of remaining unchanged during normal operation of the target device. Thus, the resulting device fingerprint should be highly specific, unique, reproducible and stable as a result of properly selecting the machine parameters.


The software routine that generates the device fingerprint may also operate on the collected parameters with one or more algorithms to generate the device fingerprint. This process may include at least one irreversible transformation, such as, for example, a cryptographic hash function, such that the input machine parameters cannot be derived from the resulting device fingerprint. Each device fingerprint, to a very high degree of certainty, cannot be generated except by the suitably configured device fingerprint routine operating or otherwise having had access to the same client device 120 for which the device fingerprint was first generated. Conversely, each identifier, again to a very high degree of certainty, can be successfully reproduced by the suitably configured device fingerprint routine operating or otherwise having access to the same client device 120 on which the identifier was first generated.


The device fingerprint routine may operate by performing a system scan to determine a present configuration of the client device 120. The routine may then select the machine parameters to be used as input for generating the unique device fingerprint. Selection of parameters may vary depending on the system configuration. Once the parameters are selected, the routine may generate the identifier.


Further, generating the device fingerprint may also be described as generating a device fingerprint and may entail the sampling of physical, non-user configurable properties as well as a variety of additional parameters such as uniquely generated hashes and time sensitive values. Physical device parameters available for sampling may include, for example, unique manufacturer characteristics, carbon and silicone degradation and small device failures.


The process of measuring carbon and silicone degradation may be accomplished by measuring a chip's ability to process complex mathematical computations, and its ability to respond to intensive time variable computations. These processes measure how fast electricity travels through the carbon. Using variable offsets to compensate for factors such as heat and additional stresses placed on a chip during the sampling process allows for each and every benchmark to reproduce the expected values. During a standard operating lifetime, the process of passing electricity through the various switches causes a computer chip to degrade. These degradations manifest as gradually slower speeds that extend the processing time required to compute various benchmarking algorithms.


In addition to the chip benchmarking and degradation measurements, the process for generating a device fingerprint may include measuring physical, non-user-configurable characteristics of disk drives and solid state memory devices. Each data storage device has a large variety of damage and unusable data sectors that are nearly unique to each physical unit. The ability to measure and compare values for damaged sectors and data storage failures provides a method for identifying storage devices.


Device parameter sampling, damage measurement and chip benchmarking make up just a part of device fingerprinting technologies described herein. These tools may be further extended by the use of complex encryption algorithms to convolute the device fingerprint values during transmission and comparisons. Such encryption processes may be used in conjunction with random sampling and key generations.


The device fingerprint may be generated by utilizing machine parameters associated with one or more of the following: machine model; machine serial number; machine copyright; machine ROM version; machine bus speed; machine details; machine manufacturer; machine ROM release date; machine ROM size; machine UUID; and machine service tag.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: CPU ID; CPU model; CPU details; CPU actual speed; CPU family; CPU manufacturer; CPU voltage; and CPU external clock.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: memory model; memory slots; memory total; and memory details.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: video model; video details; display model; display details; audio model; and audio details.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: network model; network address; Bluetooth address; BlackBox model; BlackBox serial; BlackBox details; BlackBox damage map; BlackBox volume name; NetStore details; and NetStore volume name.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: optical model; optical serial; optical details; keyboard model; keyboard details; mouse model; mouse details; printer details; and scanner details.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: baseboard manufacturer; baseboard product name; baseboard version; baseboard serial number; and baseboard asset tag.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: chassis manufacturer; chassis type; chassis version; and chassis serial number.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: IDE controller; SATA controller; RAID controller; and SCSI controller.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: port connector designator; port connector type; port connector port type; and system slot type.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: cache level; cache size; cache max size; cache SRAM type; and cache error correction type.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: fan; PCMCIA; modem; portable battery; tape drive; USB controller; and USB hub.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: device model; device model IMEI; device model IMSI; and device model LCD.


The device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: wireless 802.11; webcam; game controller; silicone serial; and PCI controller.


In one example, the device fingerprint may also be generated by utilizing machine parameters associated with one or more of the following: machine model, processor model, processor details, processor speed, memory model, memory total, network model of each Ethernet interface, network MAC address of each Ethernet interface, BlackBox Model, BlackBox Serial (e.g., using Dallas Silicone Serial DS-2401 chipset or the like), OS install date, nonce value, and nonce time of day.



FIG. 2 illustrates an exemplary embodiment of a device fingerprint 200, which may include two components—namely, a variable key portion 201 and a system key portion 203. The variable key portion 201 may be generated by reference to a variable platform parameter, such as via reference to system time information, although other parameters which are variable may be utilized in other embodiments. The system key portion 203 may include the above described parameters expected to be unique to the client device 120 on which the software is used, such as, for example, hard disk volume name, user name, computer name, user password, hard disk initialization date, or combinations of the parameters described above. The variable key portion 201 and/or the system key portion 203 may be combined with the IP address and/or other platform parameters of the client device 120. The device fingerprint, or portions thereof, may be encrypted to add an additional layer of specificity and security.



FIG. 3 is a flowchart illustrating a software process 300 for collection of audit data. At 310, a device fingerprint and an associated covert key are received at an authentication server from a client device operating software. As described above in relation to FIG. 1, the covert key is generated based on unlocked portions of licensed software. Thus, the fact that a covert key is received from a client device indicates that unlocked software is being used at the client device.


At 320, the authentication server accesses a database that has stored thereon a plurality of previously received device fingerprints associated with license keys. The device fingerprints associated with license keys correspond to those client devices which are authorized to install/use unlocked versions of the software.


At 330, a determination is made as to whether the device fingerprint associated with the covert key corresponds to one of the plurality of previously received device fingerprints associated with license keys. If so, then at 340, a determination is made the client device is licensed to use the software. On the other hand, if the device fingerprint associated with the covert key does not correspond to any one of the plurality of previously received device fingerprint associated with license keys, then at 350, a determination is made that the software use is either pirated or unlicensed. At 360, disable key may be sent to the client device so as to disable use of the software or the unlocked portions of the software.



FIG. 4 is a flow chart illustrating a software process 400 occurring at a client device. At 410, the user is prompted to input a software identifier, such as a serial number. At 420, a device fingerprint is generated in accordance with the methods describe above in connection with FIGS. 1-2.


At 430, the software identifier and device fingerprint are transmitted via a network connection to an authentication server. The authentication server then performs the appropriate checks to determine whether the installation or use of the software at the client device is authorized under the appropriate license.


At 440, a determination is made as to whether the proposed installation or use of the software at the client device is within license terms. If not, at 450, the software remains locked. If the use of the software at the client device is properly licensed, then, at 460, a license key is received at the client device. The license key is essentially unlocks the entire or restricted portions of the software.


At some time interval subsequent to receiving the license key, the software operating at the client device operates a covert key routine and, at 470, generates a covert key based on the unlocked software. At 480, the covert key and device fingerprint are sent to the authentication server and the steps as described in relation to FIG. 3 are then performed at the authentication server.


Thus, a system and a method for auditing software usage on a client device are disclosed. While embodiments of this invention have been shown and described, it will be apparent to those skilled in the art that many more modifications are possible without departing from the inventive concepts herein. The invention, therefore, is not to be restricted except in the spirit of the following claims.


As used in this application, the terms “component,” “module,” “system,” and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a client device and the client device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components can communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems by way of the signal).


It is understood that the specific order or hierarchy of steps in the processes disclosed herein in an example of exemplary approaches. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged while remaining within the scope of the present disclosure. The accompanying method claims present elements of the various steps in sample order, and are not meant to be limited to the specific order or hierarchy presented.


Moreover, various aspects or features described herein can be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media. For example, computer-readable media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips, etc.), optical discs (e.g., compact disc (CD), digital versatile disc (DVD), etc.), smart cards, and flash memory devices (e.g., Erasable Programmable Read Only Memory (EPROM), card, stick, key drive, etc.). Additionally, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term “machine-readable medium” can include, without being limited to, wireless channels and various other media capable of storing, containing, and/or carrying instruction(s) and/or data.


Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, methods and algorithms described in connection with the examples disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, methods and algorithms have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

Claims
  • 1. A system for auditing usage of software comprising: a network interface disposed to receive a device fingerprint associated with a covert key, the covert key derived based on a portion of the software that was unlocked by a license key;a memory holding program instructions operable for accessing a database storing a plurality of previously received device fingerprints associated with license keys and determining whether the device fingerprint associated with the covert key corresponds to any one of the plurality of previously received device fingerprints associated with license keys; anda processor, in communication with the network interface and the memory, the processor configured for operating the program instructions.
  • 2. A method for auditing usage of software comprising: receiving, by a processor, a device fingerprint associated with a covert key from a client device, the covert key derived based on a portion of the software that was unlocked by a license key on the client device;accessing, by the processor, a database storing a plurality of previously received device fingerprints associated with license keys; anddetermining whether the device fingerprint associated with the covert key corresponds to any one of the plurality of previously received device fingerprints associated with license keys.
  • 3. The method of claim 2, wherein the license keys each indicate unlock of at least a portion of software operating at a client device.
  • 4. The method of claim 2, further comprising indicating that unlicensed software usage has taken place upon determining that the device fingerprint associated with the covert key does not correspond to any one of the plurality of previously received device fingerprints associated with license keys.
  • 5. The method of claim 4, further comprising transmitting a disable key configured to prevent further use of the software at the client device originating the device fingerprint associated with the covert key.
  • 6. A method for auditing software usage at a client device comprising: sending, from a client device, an identifier for the software installed on the client device and a device fingerprint uniquely identifying the client device;receiving at the client device, a license key operable to unlock at least a portion of the software, for use at the client device;generating a covert key based on at least the portion of the software unlocked by the license key; and sending, from the client device, the covert key and the device fingerprint.
  • 7. The method of claim 6, wherein generating the covert key is performed at a random time interval after the first sending step.
  • 8. The method of claim 6, wherein generating the covert key is performed at a random percent chance basis after the first sending step.
  • 9. The method of claim 6, wherein the identifier for the software is a serial number.
  • 10. The method of claim 6, further comprising generating the device fingerprint based at least in part on a combination of at least one user-configurable parameter and at least one non-user configurable parameter.
Parent Case Info

This application claims priority to U.S. Provisional Application 61/220,085, which was filed Jun. 24, 2009, and which is fully incorporated herein by reference.

US Referenced Citations (108)
Number Name Date Kind
4351982 Miller et al. Sep 1982 A
4658093 Hellman Apr 1987 A
4704610 Smith et al. Nov 1987 A
4796220 Wolfe Jan 1989 A
5210795 Lipner et al. May 1993 A
5291598 Grundy Mar 1994 A
5414269 Takahashi May 1995 A
5418854 Kaufman et al. May 1995 A
5440635 Bellovin et al. Aug 1995 A
5483658 Grube et al. Jan 1996 A
5490216 Richardson, III Feb 1996 A
5509070 Schull Apr 1996 A
5666415 Kaufman Sep 1997 A
5745879 Wyman Apr 1998 A
5754763 Bereiter May 1998 A
5790664 Coley et al. Aug 1998 A
5925127 Ahmad Jul 1999 A
5974150 Kaish et al. Oct 1999 A
6009401 Horstmann Dec 1999 A
6044471 Colvin Mar 2000 A
6134659 Sprong et al. Oct 2000 A
6158005 Bharathan et al. Dec 2000 A
6230199 Revashetti et al. May 2001 B1
6233567 Cohen May 2001 B1
6243468 Pearce et al. Jun 2001 B1
6294793 Brunfeld et al. Sep 2001 B1
6330670 England et al. Dec 2001 B1
6449645 Nash Sep 2002 B1
6536005 Augarten Mar 2003 B1
6697948 Rabin et al. Feb 2004 B1
6782350 Burnley et al. Aug 2004 B1
6785825 Colvin Aug 2004 B2
6859793 Lambiase Feb 2005 B1
6920567 Doherty et al. Jul 2005 B1
6976009 Tadayon et al. Dec 2005 B2
7032110 Su et al. Apr 2006 B1
7069440 Aull Jun 2006 B2
7069595 Cognigni et al. Jun 2006 B2
7085741 Lao et al. Aug 2006 B2
7131144 Rabin et al. Oct 2006 B2
7188241 Cronce et al. Mar 2007 B2
7203966 Abburi et al. Apr 2007 B2
7206765 Gilliam et al. Apr 2007 B2
7228567 Serkowski et al. Jun 2007 B2
7272728 Pierson et al. Sep 2007 B2
7313828 Holopainen Dec 2007 B2
7319987 Hoffman et al. Jan 2008 B1
7327280 Bachelder et al. Feb 2008 B2
7337147 Chen et al. Feb 2008 B2
7343297 Bergler et al. Mar 2008 B2
7463945 Kiesel et al. Dec 2008 B2
7644442 Miller et al. Jan 2010 B2
7653899 Lindahl et al. Jan 2010 B1
7805616 Mohammed et al. Sep 2010 B1
20010034712 Colvin Oct 2001 A1
20010044782 Hughes et al. Nov 2001 A1
20020019814 Ganesan Feb 2002 A1
20020082997 Kobata et al. Jun 2002 A1
20020161636 Takahashi et al. Oct 2002 A1
20020161718 Coley et al. Oct 2002 A1
20030065918 Willey Apr 2003 A1
20030149670 Cronce Aug 2003 A1
20030154387 Evans et al. Aug 2003 A1
20030172035 Cronce et al. Sep 2003 A1
20040024860 Sato et al. Feb 2004 A1
20040030912 Merkle et al. Feb 2004 A1
20040059929 Rodgers et al. Mar 2004 A1
20040143746 Ligeti et al. Jul 2004 A1
20040187018 Owen et al. Sep 2004 A1
20040263911 Rodriguez et al. Dec 2004 A1
20050108173 Stefik et al. May 2005 A1
20050138155 Lewis Jun 2005 A1
20050172280 Ziegler et al. Aug 2005 A1
20050273600 Seeman Dec 2005 A1
20060059097 Kent Mar 2006 A1
20060072444 Engel et al. Apr 2006 A1
20060095396 Ostrover May 2006 A1
20060095454 Shankar et al. May 2006 A1
20060161914 Morrison et al. Jul 2006 A1
20060174346 Carroll et al. Aug 2006 A1
20060265337 Wesinger, Jr. Nov 2006 A1
20060282511 Takano et al. Dec 2006 A1
20070150418 Ben-Menahem et al. Jun 2007 A1
20070162395 Ben-Yaacov et al. Jul 2007 A1
20070168288 Bozeman Jul 2007 A1
20070198422 Prahlad et al. Aug 2007 A1
20070203846 Kavuri et al. Aug 2007 A1
20070219917 Liu et al. Sep 2007 A1
20070234427 Gardner et al. Oct 2007 A1
20070282615 Hamilton et al. Dec 2007 A1
20080065552 Elazar et al. Mar 2008 A1
20080086423 Waites Apr 2008 A1
20080098471 Ooi et al. Apr 2008 A1
20080141378 McLean Jun 2008 A1
20080147556 Smith et al. Jun 2008 A1
20080228578 Mashinsky Sep 2008 A1
20080247731 Yamauchi et al. Oct 2008 A1
20080285758 Chuprov et al. Nov 2008 A1
20080289050 Kawamoto et al. Nov 2008 A1
20080320607 Richardson Dec 2008 A1
20090024984 Maeda Jan 2009 A1
20090083730 Richardson Mar 2009 A1
20090138975 Richardson May 2009 A1
20090165080 Fahn et al. Jun 2009 A1
20090204661 Endo et al. Aug 2009 A1
20090228982 Kobayashi Sep 2009 A1
20100057703 Brandt et al. Mar 2010 A1
20120110342 Agrawal et al. May 2012 A1
Foreign Referenced Citations (19)
Number Date Country
678985 Jun 1997 AU
1637958 Mar 2006 EP
1637961 Mar 2006 EP
1670188 Jun 2006 EP
WO 9220022 Nov 1992 WO
WO 9301550 Jan 1993 WO
WO 9535533 Dec 1995 WO
WO 0067095 Nov 2000 WO
WO 2005104686 Nov 2005 WO
WO2007060516 May 2007 WO
WO2008013504 Jan 2008 WO
WO2008157639 Dec 2008 WO
WO2009039504 Mar 2009 WO
WO2009065135 May 2009 WO
WO2009076232 Jun 2009 WO
WO2009105702 Aug 2009 WO
WO2009143115 Nov 2009 WO
WO 2009158525 Dec 2009 WO
WO 2010093683 Aug 2010 WO
Non-Patent Literature Citations (6)
Entry
Williams, R., “A Painless Guide to CRC Error Detection Algorithms”, Ver. 3, Aug. 19, 1993.
Angha, F. et al., “Securing Transportation Network Infrastructure with Patented Technology of Device Locking—Developed by Uniloc USA”, avail. at: http://www.dksassociates.com/admin/paperfile/ITS%20World%20Paper%20Submission—Uniloc%20—2—.pdf, Oct. 24, 2006.
Econolite, “Econolite and Uniloc Partner to Bring Unmatched Infrastructure Security to Advanced Traffic Control Networks with Launch of Strongpoint”, avail. at: http://www.econolite.com/docs/press/20080304—Econolite—StrongPoint.pdf, Mar. 4, 2008.
Luo et al. “Ariadne: An Eclipse-based System for Tracking the Originality of Source Code,” IBM Systems Journal, 2007, vol. 46, No. 2, pp. 289-303.
Wikipedia: “Software Extension,” May 28, 2009, Internet Article retrieved on Oct. 11, 2010. XP002604710.
H. Williams, et al., “Web Database Applications with PHP & MySQL”, Chapter 1, “Database Applications and the Web”, ISBN 0-596-00041-3, O'Reilly & Associates, Inc., Mar. 2002, avail. at: http://docstore.mik.ua/orelly/webprog/webdb/ch01—01.htm. XP002603488.
Related Publications (1)
Number Date Country
20100333207 A1 Dec 2010 US
Provisional Applications (1)
Number Date Country
61220085 Jun 2009 US