Methods for identifying network traffic characteristics to correlate and manage one or more subsequent flows and devices thereof

Information

  • Patent Grant
  • 9270766
  • Patent Number
    9,270,766
  • Date Filed
    Friday, December 30, 2011
    12 years ago
  • Date Issued
    Tuesday, February 23, 2016
    8 years ago
Abstract
A method, non-transitory computer readable medium, and device that identifies network traffic characteristics to correlate and manage one or more subsequent flows includes transmitting a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request. The HTTP request is transmitted to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server. An HTTP response to the HTTP request is received from the application server. An operation with respect to the HTTP response is performed.
Description
FIELD

This technology relates to methods for identifying network traffic characteristics to correlate and manage one or more subsequent flows and devices thereof.


BACKGROUND

As enterprise customers deploy more web-based database applications, IT administrators face several challenges for correlating and managing subsequent flows. For example, IT administrators would like to provide a data access audit trail which is not always possible. Additionally, IT administrators would like to be able to monitor and effectively alert or terminate a user session deemed to be misbehaving based on a data or other access policy. Further, IT administrators would like to secure both application and database environments from threats, such as SQL injection and cross-site scripting attacks.


SUMMARY

A method for identifying network traffic characteristics to correlate and manage one or more subsequent flows includes transmitting, by a traffic management computing device, a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request. The HTTP request is transmitted, by the traffic management computing device, to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server. An HTTP response to the HTTP request is received, by the traffic management computing device, from the application server. An operation with respect to the HTTP response is performed, by the traffic management computing device, after transmitting a monitoring response message to end the correlation associated with the HTTP request in response to the monitoring request.


A non-transitory computer readable medium having stored thereon instructions for identifying network traffic characteristics to correlate and manage one or more subsequent flows comprising machine executable code which when executed by at least one processor, causes the processor to perform steps including transmitting a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request. The HTTP request is transmitted to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server. An HTTP response to the HTTP request is received from the application server. An operation with respect to the HTTP response is performed.


A traffic management computing device includes a memory coupled to one or more processors which are configured to execute programmed instructions stored in the memory including transmitting a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request. The HTTP request is transmitted to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server. An HTTP response to the HTTP request is received from the application server. An operation with respect to the HTTP response is performed


This technology provides a number of advantages including providing effective methods, non-transitory computer readable medium, and devices that identify network traffic characteristics to correlate and manage one or more subsequent flows. With this technology, access audit trails can be generated that are granular at the data level and also tie in attributes from the web application layer. Additionally, this technology can monitor and effectively alert or terminate a user session deemed to be misbehaving based on a data access policy. Further, this technology helps to secure both application and database environments from threats, such as SQL injection and cross-site scripting attacks.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is an environment with an exemplary traffic management computing device that identifies network traffic characteristics to correlate and manage one or more subsequent flows;



FIGS. 2 and 3 are flow and functional diagrams of a method for identifying network traffic characteristics to correlate and monitor one or more subsequent flows to generate an audit trail; and



FIGS. 4 and 5 are flow and functional diagrams of a method for identifying network traffic characteristics to correlate and manage access to one or more subsequent flows.





DETAILED DESCRIPTION

An environment 10 with an exemplary traffic management computing device that identifies network traffic characteristics to correlate and manage one or more subsequent flows is illustrated in FIG. 1. The environment 10 includes a traffic management computing device 12, a plurality of client computing devices 14(1)-14(n), a database monitoring server 16, a web application server 18, and data servers 20(1)-20(n) which are all coupled together by one or more communication networks 21(1)-21(4), although this environment can include other numbers and types of systems, devices, components, and elements in other configurations. This technology provides a number of advantages including providing effective methods, non-transitory computer readable medium, and devices that identify network traffic characteristics to correlate and manage one or more subsequent flows, such as request and/or response flows.


The traffic management computing device 12 provides a number of functions as illustrated and described with the examples herein including identifying network traffic characteristics to correlate and manage one or more subsequent flows, although other numbers and types of systems can be used and other numbers and types of functions can be performed. In this example, the traffic management computing device 12 includes a central processing unit (CPU) or processor 22, a memory 24, and an interface system 26 which are coupled together by a bus or other link, although other numbers and types of systems, devices, components, and elements in other configurations production data storage device 16, and a backup data storage device 18 and locations can be used. The processor 22 executes a program of stored instructions for one or more aspects of the present technology as described and illustrated by way of the examples herein, although other types and numbers of processing devices and logic could be used and the processor 22 could execute other numbers and types of programmed instructions.


The memory 24 stores these programmed instructions for one or more aspects of the present technology as described and illustrated herein, although some or all of the programmed instructions could be stored and executed elsewhere. A variety of different types of memory storage devices, such as a random access memory (RAM) or a read only memory (ROM) in the system or a floppy disk, hard disk, CD ROM, DVD ROM, or other computer readable medium which is read from and written to by a magnetic, optical, or other reading and writing system that is coupled to the processor 22, can be used for the memory 24.


In this example, the interface system 26 in the traffic management computing device 12 is used to operatively couple and communicate between the traffic management computing device 12 and the plurality of client computing devices 14(1)-14(n), the database monitoring server 16, and the web application server 18, which are all coupled together by one or more communication networks 21(1), 21(2), and 21(4), although other types and numbers of communication networks or systems with other types and numbers of connections and configurations to other devices and elements, such as communication network 21(3) to communicate with data servers 20(1)-20(n) could be used. In this illustrative example, application, web application server 18 is coupled to data servers 20(1)-20(n) via communication network 20(3). Additionally, by way of example only, the one or more the communications networks can use TCP/IP over Ethernet and industry-standard protocols, including NFS, CIFS, SOAP, XML, LDAP, and SNMP, although other types and numbers of communication networks, such as a direct connection, a local area network, a wide area network, modems and phone lines, e-mail, and wireless communication technology, each having their own communications protocols, can be used. In the exemplary environment 10 shown in FIG. 1, three communication networks 21(1)-21(4) are illustrated, although other numbers and types could be used.


The client computing devices 14(1)-14(n), the database monitoring server 16, the web application server 18, and the data servers 20(1)-20(n) each may include a central processing unit (CPU) or processor, a memory, and an interface or I/O system, which are coupled together by a bus or other link, although each could comprise other numbers and types of elements and components, such as configured control logic to execute one or more aspects of this technology. Each of the client computing devices 14(1)-14(n) may submit an HTTP request for data or operations from the web application server 18 through the traffic management computing device 12 and may receive HTTP responses, although other numbers and types of requests and responses can be transmitted and received and other types and numbers of functions could be performed.


The database monitoring server 16 may interact with the traffic management device 12 to receive one or more attributes extracted from the HTTP request along with a timestamp and may use the attributes and timestamp to correlate one or more subsequent flows associated with the HTTP request to one or more of the data servers 20(1)-20(n), although other numbers and types of functions can be performed.


The web application server 18 may receive and process the one or more HTTP requests or other requests from one or more of the client computing devices 14(1)-14(n) to execute one or more SQL queries or requests to obtain responsive data or other information from one or more of the data servers 20(1)-20(n), although other numbers and types of functions can be performed. Each of the data servers 20(1)-20(n) store content, such as files and directories, in relational databases and perform other operations, although other numbers and types of servers or other computing device which could have other numbers and types of functions and/or store other data could be used.


Although an example of the traffic management computing device 12, the plurality of client computing devices 14(1)-14(n), the database monitoring server 16, the web application server 18, and the data servers 20(1)-20(n) are described herein, other types and numbers of devices could be used and each of these devices could be implemented in other configurations and manners on one or more of any suitable computer system or computing device. It is to be understood that the devices and systems of the examples described herein are for exemplary purposes, as many variations of the specific hardware and software used to implement the examples are possible, as will be appreciated by those skilled in the relevant art(s).


Furthermore, each of the systems of the examples may be conveniently implemented using one or more general purpose computer systems, microprocessors, digital signal processors, and micro-controllers, programmed according to the teachings of the examples, as described and illustrated herein, and as will be appreciated by those ordinary skill in the art.


In addition, two or more computing systems or devices can be substituted for any one of the systems in any embodiment of the examples. Accordingly, principles and advantages of distributed processing, such as redundancy and replication also can be implemented, as desired, to increase the robustness and performance of the devices and systems of the examples. The examples may also be implemented on computer system or systems that extend across any suitable network using any suitable interface mechanisms and communications technologies, including by way of example only telecommunications in any suitable form (e.g., voice and modem), wireless communications media, wireless communications networks, cellular communications networks, G3 communications networks, Public Switched Telephone Network (PSTNs), Packet Data Networks (PDNs), the Internet, intranets, and combinations thereof.


The examples may also be embodied as a non-transitory computer readable medium having instructions stored thereon for one or more aspects of the present technology as described and illustrated by way of the examples herein, as described herein, which when executed by a processor, cause the processor to carry out the steps necessary to implement the methods of the examples, as described and illustrated herein.


An exemplary method for identifying network traffic characteristics to correlate and monitor one or more subsequent flows to generate an audit trail will now be described with reference to FIGS. 1-3. In step 100, the traffic management computing device 12 monitors for when one of the client computing devices 14(1)-14(n) performs a login request and submits a login form containing username or other login identifier, although other manners for monitoring a login, such as the traffic management computing device 12 providing an initial login page, could be used.


In step 102, the traffic management computing device 12 determines whether a received user request, such as an HTTP request by way of example only, with a username or other login credentials can be associated with one of the client computing devices 14(1)-14(n), although other types of requests from other types of devices could be received. If in step 102, the traffic management computing device 12 can not associate the received user request with the username or other login credentials with one of the client computing devices 14(1)-14(n), then the No branch is taken to step 104.


In step 104, the traffic management computing device 12 determines whether this exemplary method should end, such as when the user at the one of the client computing devices 14(1)-14(n) logs out or stops browsing by way of example only, although other manners for determining when this method should end can be used. If in step 104 the traffic management computing device 12 determines this exemplary method should end, then the Yes branch is taken to step 106 where this exemplary method ends. If in step 104 the traffic management computing device 12 determines this exemplary method should not end, then the No branch is taken back to step 102 as described earlier.


If back in step 102, the traffic management computing device 12 can associate a received user request with a username or other login credentials with one of the client computing devices 14(1)-14(n), then the Yes branch is taken to step 108. For illustration purposes in FIG. 3 for this particular example, the user request is provided by the client computing device 14(1), although other types of devices could provide the request.


In step 108, the traffic management computing device 12 extracts a client identification, such as one or more of a login username, IP address, authentication credentials, and an authentication cookie value by way of example only, a session identification, and one or more values from the received user request, although other types and amounts of data can be extracted.


In step 110, the traffic management computing device 12 generates a monitoring request message, shown by way of example only as “asm_request.msg” in FIG. 3. The generated monitoring request message includes a timestamp and the extracted client identification, session identification, and one or more values from the received user request, although other types of messages with other data may be generated. In step 112, the traffic management computing device 12 transmits the generated monitoring request to the database monitoring server 16 over an unencrypted TCP socket over a secure internal LAN provided by communication network 21(2), although other manners of transmitting this message over other types of connections and networks can be used. Once the monitoring request has been received by the database monitoring server 16, the database monitoring server 16 generates and transmits a monitoring acknowledgement response to the traffic management computing device 12.


In step 114, the traffic management computing device 12 receives the monitoring acknowledgement response, shown by way of example only as “dbm_ack.msg” in FIG. 3, from the database monitoring server 16.


In step 116, the traffic management computing device transmits the received user request to the application server 18. The application server 18 receives the user request forwarded from the traffic management computing device 12 and may issue one or more SQL requests for data or other operations from one or more of the data servers 20(1)-20(n), although other types and numbers of requests, such as an XML query, XPATH, or an WS security request by way of example only, to other types and numbers of devices could be used. For illustration purposes in FIG. 3 for this particular example, the SQL requests from the application server 18 are provided to the data server 20(1), although the requests could be transmitted to other devices to obtain the requested data.


In step 118, with the information in the generated monitoring request, the database monitoring server 16 is now able to monitor and correlate data flows between the application server 18 and one or more of the data servers 20(1)-20(n) which are associated with the received user request, although types of flows of requests and/or responses to other types of servers and computing devices could be monitored and correlated. The database monitoring server 16 also may apply one or more stored access or other policies to the data flows between the application server 18 and one or more of the data servers 20(1)-20(n), although the access or other policies could be applied to other types of flows to other types of servers and computing devices. Additionally, the database monitoring server 16 is able to generate an audit trail associate with the user request and the correlated SQL or other requests.


In step 120, the traffic management computing device 12 determines whether a response to the user request has been received. If in step 120, the traffic management computing device 12 determines a response to the user request has not been received, then the No branch is taken back to step 118 as described earlier and then database monitoring server 16 continues to monitor and correlate data flows between the application server 18 and one or more of the data servers 20(1)-20(n). If in step 120, the traffic management computing device 12 determines a response to the user request has been received, then the Yes branch is taken back to step 122.


In step 122, the traffic management computing device 12 generates and transmits a monitoring response message, shown by way of example only as “asm_response.msg” in FIG. 3, to the database monitoring server 16. When the database monitoring server 16 receives the monitoring response message it stops any further monitoring and correlation of data flows between the application server 18 and one or more of the data servers 20(1)-20(n) for the previously received user request. In step 124, the traffic management computing device 12 transmits the user response received from the application server 18 to the requesting one of the client computing devices 14(1)-14(n) which is shown by way of example only in FIG. 3 as client computing device 14(1) and then proceeds to step 104 as described earlier.


An exemplary method for identifying network traffic characteristics to correlate and manage access to one or more subsequent flows will now be described with reference to FIGS. 1, 4 and 5. This exemplary method is the same as the exemplary method described with reference to FIGS. 1-3, except as illustrated and described herein. Steps in the exemplary method described with reference to FIGS. 1, 4, and 5 which are like those in the exemplary method described earlier with reference to FIGS. 1-3, will have like reference numerals and will not be described again.


In step 122, the traffic management computing device 12 generates and transmits a monitoring response message, shown by way of example only as asm_response. msg” in FIG. 3, to the database monitoring server 16. However, in this exemplary method the traffic management computing device 12 now waits for a subsequent action message from the database monitoring server 16 before determining what action to take with respect to the HTTP response to the received user request from one of the client computing devices 14(1)-14(n), which is shown by way of example only in FIG. 5 as client computing device 14(1). The database monitoring server 16 can monitor the data flows between the application server 18 and one or more of the data servers 20(1)-20(n) and generate one or more commands. In this example, the received action can comprise allowing this HTTP response to be transmitted to the requesting one of the client computing devices 14(1)-14(n), logging this HTTP response for auditing or other purposes in a memory storage device, reporting this HTTP response to one or more designated entities, quarantining or otherwise blocking this HTTP response from being transmitted to the requesting one of the client computing devices 14(1)-14(n), if for example an SQL injection is detected, and terminating this HTTP response, although other types and numbers of operations based on a received command can be executed. The blocking may be at the web-application level, at the level of the transaction, or later for the user or user session and the commands may be based on the data access policy comprising one or more SQL injection policies in the database monitoring server 16.


In step 126, the traffic management computing device 12 determines whether an action message, shown by way of example only as “dbm_reply.msg” in FIG. 5, from the database monitoring server 16 has been received. If in step 126, the traffic management computing device 12 determines an action message from the database monitoring server 16 has not been received, then the No branch is taken back to the start of step 126, although other options are available, such as ending this method after a set period of time if a command message is not received. If in step 126, the traffic management computing device 12 determines an action message from the database monitoring server 16 has been received, then the Yes branch is taken to step 128.


In step 128, the traffic management computing device 12 executes the specified action in the message with respect to the HTTP response to the received user request, although other types and numbers of operations can be performed. As noted earlier, these actions can, by way of example only, include allowing, logging, reporting, quarantining, or terminating the response to the received user request. Once the traffic management computing device 12 has completed the action with respect to the HTTP response based on the received command, this exemplary method returns to step 104 as described earlier.


Accordingly, as illustrated and described in the exemplary methods herein, this technology provides effective methods, non-transitory computer readable medium, and devices that identify network traffic characteristics to correlate and manage one or more subsequent flows. With this technology, data access audit trails can be generated that are granular at the data level and also tie in attributes from the web application layer. Additionally, this technology can monitor and effectively alert or terminate a user session deemed to be misbehaving based on a data access policy. Further, this technology helps to secure both application and database environments from threats, such as SQL injection and cross-site scripting attacks.


Having thus described the basic concept of the invention, it will be rather apparent to those skilled in the art that the foregoing detailed disclosure is intended to be presented by way of example only, and is not limiting. Various alterations, improvements, and modifications will occur and are intended to those skilled in the art, though not expressly stated herein. These alterations, improvements, and modifications are intended to be suggested hereby, and are within the spirit and scope of the invention. Additionally, the recited order of processing elements or sequences, or the use of numbers, letters, or other designations therefore, is not intended to limit the claimed processes to any order except as may be specified in the claims. Accordingly, the invention is limited only by the following claims and equivalents thereto.

Claims
  • 1. A method for identifying network traffic characteristics to correlate and manage one or more subsequent flows executable by one or more traffic management devices with at least one processor for executing the method, the method comprising: transmitting, by a processor on the one or more traffic management devices, a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request;transmitting, by the processor on the one or more traffic management devices, the HTTP request to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server;receiving, by the processor on the one or more traffic management devices, an HTTP response to the HTTP request from the application server;transmitting, by the processor on the one or more traffic management devices, a monitoring response message to end the correlation associated with the HTTP request; andperforming, by the processor on the one or more traffic management devices, at least one operation with respect to the HTTP response when a command message in a response to the monitoring response message is not received before a predetermined period of time elapses.
  • 2. The method of claim 1 wherein the performing further comprises: outputting, by the processor on the one or more traffic management devices, the HTTP response to the requesting client computing device.
  • 3. The method of claim 1 further comprising: receiving, by the processor on the one or more traffic management devices, a determined action with respect to the HTTP request from the monitoring server which is based on at least one data access policy, wherein the performing further comprises executing, by the traffic management computing device, the determined action on the HTTP response.
  • 4. The method of claim 3 wherein the determined action comprises one or more of allowing, logging, reporting, quarantining, and terminating, by the traffic management computing device, the output of the HTTP response to the requesting client computing device.
  • 5. The method of claim 1 wherein the one or more attributes comprise a client identification and a session identification in the HTTP request.
  • 6. The method of claim 5 wherein the one or more attributes further comprise one or more request values.
  • 7. A non-transitory computer readable medium having stored thereon instructions for identifying network traffic characteristics to correlate and manage one or more subsequent flows comprising machine executable code which when executed by at least one processor, causes the processor to perform steps comprising: transmitting a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request;transmitting the HTTP request to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server;receiving an HTTP response to the HTTP request from the application server;transmitting a monitoring response message to end the correlation associated with the HTTP request; andperforming at least one operation with respect to the HTTP response when a command message in a response to the monitoring response message is not received before a predetermined period of time elapses.
  • 8. The medium of claim 7 wherein the performing further comprises outputting the HTTP response to the requesting client computing device.
  • 9. The medium of claim 7 further comprising receiving a determined action with respect to the HTTP request from the monitoring server which is based on at least one data access policy, wherein the performing further comprises executing the determined action on the HTTP response.
  • 10. The medium of claim 9 wherein the determined action comprises one or more of allowing, logging, reporting, quarantining, and terminating the output of the HTTP response to the requesting client computing device.
  • 11. The medium of claim 7 wherein the one or more attributes comprise a client identification and a session identification in the HTTP request.
  • 12. The medium of claim 11 wherein the one or more attributes further comprise one or more request values.
  • 13. One or more traffic management computing devices comprising: one or more processors;a memory coupled to the one or more processors which are configured to be capable of executing programmed instructions, which comprise the programmed instructions stored in the memory to:transmit a monitoring request comprising one or more attributes extracted from an HTTP request received from a client computing device and a timestamp to a monitoring server to correlate one or more subsequent flows associated with the HTTP request;transmit the HTTP request to an application server after receiving an acknowledgement response to the monitoring request from the monitoring server;receive an HTTP response to the HTTP request from the application server;transmit a monitoring response message to end the correlation associated with the HTTP request; andperform at least on operation with respect to the HTTP response when a command message in response to the monitoring response message is not received before a predetermined period of time elapses.
  • 14. The device of claim 13 wherein the performing further comprises outputting the HTTP response to the requesting client computing device.
  • 15. The device of claim 13 wherein the one or more processors is further configured to execute programmed instructions stored in the memory further comprising receiving a determined action with respect to the HTTP request from the monitoring server which is based on at least one data access policy, wherein the performing further comprises executing the determined action on the HTTP response.
  • 16. The device of claim 15 wherein the determined action comprises one or more of allowing, logging, reporting, quarantining, or terminating the output of the HTTP response to the requesting client computing device.
  • 17. The device of claim 13 wherein the one or more attributes comprise a client identification and a session identification in the HTTP request.
  • 18. The device of claim 17 wherein the one or more attributes further comprise one or more request values.
US Referenced Citations (370)
Number Name Date Kind
3950735 Patel Apr 1976 A
4644532 George et al. Feb 1987 A
4897781 Chang et al. Jan 1990 A
4965772 Daniel et al. Oct 1990 A
5023826 Patel Jun 1991 A
5053953 Patel Oct 1991 A
5167024 Smith et al. Nov 1992 A
5299312 Rocco, Jr. Mar 1994 A
5327529 Fults et al. Jul 1994 A
5367635 Bauer et al. Nov 1994 A
5371852 Attanasio et al. Dec 1994 A
5406502 Haramaty et al. Apr 1995 A
5475857 Dally Dec 1995 A
5517617 Sathaye et al. May 1996 A
5519694 Brewer et al. May 1996 A
5519778 Leighton et al. May 1996 A
5521591 Arora et al. May 1996 A
5528701 Aref Jun 1996 A
5581764 Fitzgerald et al. Dec 1996 A
5596742 Agarwal et al. Jan 1997 A
5606665 Yang et al. Feb 1997 A
5611049 Pitts Mar 1997 A
5663018 Cummings et al. Sep 1997 A
5752023 Choucri et al. May 1998 A
5761484 Agarwal et al. Jun 1998 A
5768423 Aref et al. Jun 1998 A
5774660 Brendel et al. Jun 1998 A
5790554 Pitcher et al. Aug 1998 A
5802052 Venkataraman Sep 1998 A
5812550 Sohn et al. Sep 1998 A
5825772 Dobbins et al. Oct 1998 A
5832283 Chou et al. Nov 1998 A
5875296 Shi et al. Feb 1999 A
5892914 Pitts Apr 1999 A
5892932 Kim Apr 1999 A
5919247 Van Hoff et al. Jul 1999 A
5936939 Des Jardins et al. Aug 1999 A
5941988 Bhagwat et al. Aug 1999 A
5946690 Pitts Aug 1999 A
5949885 Leighton Sep 1999 A
5951694 Choquier et al. Sep 1999 A
5959990 Frantz et al. Sep 1999 A
5974460 Maddalozzo, Jr. et al. Oct 1999 A
5983281 Ogle et al. Nov 1999 A
5988847 McLaughlin et al. Nov 1999 A
6006260 Barrick, Jr. et al. Dec 1999 A
6006264 Colby et al. Dec 1999 A
6026452 Pitts Feb 2000 A
6028857 Poor Feb 2000 A
6051169 Brown et al. Apr 2000 A
6078956 Bryant et al. Jun 2000 A
6085234 Pitts et al. Jul 2000 A
6092196 Reiche Jul 2000 A
6108703 Leighton et al. Aug 2000 A
6111876 Frantz et al. Aug 2000 A
6128279 O'Neil et al. Oct 2000 A
6128657 Okanoya et al. Oct 2000 A
6160874 Dickerman et al. Dec 2000 A
6170022 Linville et al. Jan 2001 B1
6178423 Douceur et al. Jan 2001 B1
6182139 Brendel Jan 2001 B1
6192051 Lipman et al. Feb 2001 B1
6233612 Fruchtman et al. May 2001 B1
6246684 Chapman et al. Jun 2001 B1
6253226 Chidambaran et al. Jun 2001 B1
6253230 Couland et al. Jun 2001 B1
6263368 Martin Jul 2001 B1
6289012 Harrington et al. Sep 2001 B1
6298380 Coile et al. Oct 2001 B1
6327622 Jindal et al. Dec 2001 B1
6343324 Hubis et al. Jan 2002 B1
6347339 Morris et al. Feb 2002 B1
6360270 Cherkasova et al. Mar 2002 B1
6374300 Masters Apr 2002 B2
6396833 Zhang et al. May 2002 B1
6430562 Kardos et al. Aug 2002 B1
6434081 Johnson et al. Aug 2002 B1
6480476 Willars Nov 2002 B1
6484261 Wiegel Nov 2002 B1
6490624 Sampson et al. Dec 2002 B1
6510135 Almulhem et al. Jan 2003 B1
6510458 Berstis et al. Jan 2003 B1
6519643 Foulkes et al. Feb 2003 B1
6601084 Bhaskaran et al. Jul 2003 B1
6636503 Shiran et al. Oct 2003 B1
6636894 Short et al. Oct 2003 B1
6650640 Muller et al. Nov 2003 B1
6650641 Albert et al. Nov 2003 B1
6654701 Hatley Nov 2003 B2
6661802 Homberg et al. Dec 2003 B1
6683873 Kwok et al. Jan 2004 B1
6691165 Bruck et al. Feb 2004 B1
6694517 James et al. Feb 2004 B1
6708187 Shanumgam et al. Mar 2004 B1
6718380 Mohaban et al. Apr 2004 B1
6742045 Albert et al. May 2004 B1
6751663 Farrell et al. Jun 2004 B1
6754228 Ludwig Jun 2004 B1
6760775 Anerousis et al. Jul 2004 B1
6772219 Shobatake Aug 2004 B1
6779039 Bommareddy et al. Aug 2004 B1
6781986 Sabaa et al. Aug 2004 B1
6798777 Ferguson et al. Sep 2004 B1
6804542 Haartsen Oct 2004 B1
6816901 Sitaraman et al. Nov 2004 B1
6816977 Brakmo et al. Nov 2004 B2
6829238 Tokuyo et al. Dec 2004 B2
6868082 Allen, Jr. et al. Mar 2005 B1
6876629 Beshai et al. Apr 2005 B2
6876654 Hegde Apr 2005 B1
6888836 Cherkasova May 2005 B1
6928082 Liu et al. Aug 2005 B2
6947985 Hegli et al. Sep 2005 B2
6950434 Viswanath et al. Sep 2005 B1
6954780 Susai et al. Oct 2005 B2
6957272 Tallegas et al. Oct 2005 B2
6959394 Brickell et al. Oct 2005 B1
6975592 Seddigh et al. Dec 2005 B1
6986040 Kramer et al. Jan 2006 B1
6987763 Rochberger et al. Jan 2006 B2
7007092 Peiffer Feb 2006 B2
7058633 Gnagy et al. Jun 2006 B1
7113993 Cappiello et al. Sep 2006 B1
7133944 Song et al. Nov 2006 B2
7139792 Mishra et al. Nov 2006 B1
7185359 Schmidt et al. Feb 2007 B2
7228422 Morioka et al. Jun 2007 B2
7287082 O'Toole, Jr. Oct 2007 B1
7295827 Liu et al. Nov 2007 B2
7308703 Wright et al. Dec 2007 B2
7308709 Brezak et al. Dec 2007 B1
7310339 Powers et al. Dec 2007 B1
7319696 Inoue et al. Jan 2008 B2
7321926 Zhang et al. Jan 2008 B1
7333999 Njemanze Feb 2008 B1
7343413 Gilde et al. Mar 2008 B2
7349391 Ben-Dor et al. Mar 2008 B2
7383570 Pinkas et al. Jun 2008 B2
7398552 Pardee et al. Jul 2008 B2
7433962 Janssen et al. Oct 2008 B2
7437478 Yokota et al. Oct 2008 B2
7454480 Labio et al. Nov 2008 B2
7490162 Masters Feb 2009 B1
7500243 Huetsch et al. Mar 2009 B2
7500269 Huotari et al. Mar 2009 B2
7505795 Lim et al. Mar 2009 B1
7516492 Nisbet et al. Apr 2009 B1
7522581 Acharya et al. Apr 2009 B2
7526541 Roese et al. Apr 2009 B2
7558197 Sindhu et al. Jul 2009 B1
7580971 Gollapudi et al. Aug 2009 B1
7590732 Rune Sep 2009 B2
7624424 Morita et al. Nov 2009 B2
7644137 Bozak et al. Jan 2010 B2
7668166 Rekhter et al. Feb 2010 B1
7689710 Tang et al. Mar 2010 B2
7724657 Rao et al. May 2010 B2
7725093 Sengupta et al. May 2010 B2
7778187 Chaturvedi et al. Aug 2010 B2
7801978 Susai et al. Sep 2010 B1
7808913 Ansari et al. Oct 2010 B2
7831662 Clark et al. Nov 2010 B2
7908314 Yamaguchi et al. Mar 2011 B2
7925908 Kim Apr 2011 B2
7930365 Dixit et al. Apr 2011 B2
7933946 Livshits et al. Apr 2011 B2
7945908 Waldspurger et al. May 2011 B1
7984141 Gupta et al. Jul 2011 B2
8103781 Wu et al. Jan 2012 B1
8130650 Allen, Jr. et al. Mar 2012 B2
8189567 Kavanagh et al. May 2012 B2
8199757 Pani et al. Jun 2012 B2
8205246 Shatzkamer et al. Jun 2012 B2
8239954 Wobber et al. Aug 2012 B2
8274895 Rahman et al. Sep 2012 B2
8321908 Gai et al. Nov 2012 B2
8351333 Rao et al. Jan 2013 B2
8380854 Szabo Feb 2013 B2
8417817 Jacobs Apr 2013 B1
8447871 Szabo May 2013 B1
8447970 Klein et al. May 2013 B2
8464265 Worley Jun 2013 B2
8468267 Yigang Jun 2013 B2
8539224 Henderson et al. Sep 2013 B2
8566474 Kanode et al. Oct 2013 B2
8578050 Craig et al. Nov 2013 B2
8606921 Vasquez et al. Dec 2013 B2
8615022 Harrison et al. Dec 2013 B2
8646067 Agarwal et al. Feb 2014 B2
8665868 Kay Mar 2014 B2
8701179 Penno et al. Apr 2014 B1
8725836 Lowery et al. May 2014 B2
8726338 Narayanaswamy et al. May 2014 B2
8737304 Karuturi et al. May 2014 B2
8788665 Gilde et al. Jul 2014 B2
8804504 Chen Aug 2014 B1
8819109 Krishnamurthy et al. Aug 2014 B1
8819419 Carlson et al. Aug 2014 B2
8819768 Koeten et al. Aug 2014 B1
8830874 Cho et al. Sep 2014 B2
8873753 Parker Oct 2014 B2
8875274 Montemurro et al. Oct 2014 B2
8886981 Baumann et al. Nov 2014 B1
8908545 Chen et al. Dec 2014 B1
8954080 Janakiriman et al. Feb 2015 B2
9037166 de Wit et al. May 2015 B2
9077554 Szabo Jul 2015 B1
9083760 Hughes et al. Jul 2015 B1
20010009554 Katseff et al. Jul 2001 A1
20010023442 Masters Sep 2001 A1
20020010783 Primak et al. Jan 2002 A1
20020032777 Kawata et al. Mar 2002 A1
20020049842 Huetsch et al. Apr 2002 A1
20020059428 Susai et al. May 2002 A1
20020083067 Tamayo et al. Jun 2002 A1
20020112061 Shih et al. Aug 2002 A1
20020138615 Schmeling Sep 2002 A1
20020161913 Gonzalez et al. Oct 2002 A1
20020194342 Lu et al. Dec 2002 A1
20020198993 Cudd et al. Dec 2002 A1
20030037070 Marston Feb 2003 A1
20030046291 Fascenda Mar 2003 A1
20030065951 Igeta et al. Apr 2003 A1
20030069918 Lu et al. Apr 2003 A1
20030069974 Lu et al. Apr 2003 A1
20030070069 Belapurkar et al. Apr 2003 A1
20030086415 Bernhard et al. May 2003 A1
20030105983 Brakimo et al. Jun 2003 A1
20030108052 Inoue et al. Jun 2003 A1
20030128708 Inoue et al. Jul 2003 A1
20030145062 Sharma et al. Jul 2003 A1
20030145233 Poletto et al. Jul 2003 A1
20030163576 Janssen et al. Aug 2003 A1
20030225485 Fritz et al. Dec 2003 A1
20040003287 Zissimopoulos et al. Jan 2004 A1
20040072569 Omae et al. Apr 2004 A1
20040103283 Hornak May 2004 A1
20040111523 Hall et al. Jun 2004 A1
20040111621 Himberger et al. Jun 2004 A1
20040117493 Bazot et al. Jun 2004 A1
20040151186 Akama Aug 2004 A1
20040192312 Li et al. Sep 2004 A1
20040264472 Oliver et al. Dec 2004 A1
20040264481 Darling et al. Dec 2004 A1
20040267920 Hydrie et al. Dec 2004 A1
20040267948 Oliver et al. Dec 2004 A1
20040268358 Darling et al. Dec 2004 A1
20050004887 Igakura et al. Jan 2005 A1
20050021736 Carusi et al. Jan 2005 A1
20050027869 Johnson Feb 2005 A1
20050044213 Kobayashi et al. Feb 2005 A1
20050052440 Kim et al. Mar 2005 A1
20050055435 Gbadegesin et al. Mar 2005 A1
20050078604 Yim Apr 2005 A1
20050122977 Lieberman Jun 2005 A1
20050154837 Keohane et al. Jul 2005 A1
20050187866 Lee Aug 2005 A1
20050188220 Nilsson et al. Aug 2005 A1
20050188423 Motsinger et al. Aug 2005 A1
20050198310 Kim et al. Sep 2005 A1
20050262238 Reeves et al. Nov 2005 A1
20060031520 Bedekar et al. Feb 2006 A1
20060059267 Cugi et al. Mar 2006 A1
20060077902 Kannan et al. Apr 2006 A1
20060095573 Carle May 2006 A1
20060112176 Liu et al. May 2006 A1
20060112272 Morioka et al. May 2006 A1
20060129684 Datta Jun 2006 A1
20060135198 Lee Jun 2006 A1
20060156416 Huotari et al. Jul 2006 A1
20060161577 Kulkarni et al. Jul 2006 A1
20060171365 Borella Aug 2006 A1
20060209853 Hidaka et al. Sep 2006 A1
20060230148 Forecast et al. Oct 2006 A1
20060233106 Achlioptas et al. Oct 2006 A1
20060242300 Yumoto et al. Oct 2006 A1
20070006293 Balakrishnan et al. Jan 2007 A1
20070016662 Desai et al. Jan 2007 A1
20070058670 Konduru et al. Mar 2007 A1
20070064661 Sood et al. Mar 2007 A1
20070083646 Miller et al. Apr 2007 A1
20070088822 Coile et al. Apr 2007 A1
20070106796 Kudo et al. May 2007 A1
20070107048 Halls et al. May 2007 A1
20070118879 Yeun May 2007 A1
20070124806 Shulman et al. May 2007 A1
20070136312 Shulman et al. Jun 2007 A1
20070174491 Still et al. Jul 2007 A1
20070220598 Salowey et al. Sep 2007 A1
20070233809 Brownell et al. Oct 2007 A1
20070297410 Yoon et al. Dec 2007 A1
20070297551 Choi Dec 2007 A1
20080025297 Kashyap Jan 2008 A1
20080034136 Ulenas Feb 2008 A1
20080072303 Syed Mar 2008 A1
20080120370 Chan et al. May 2008 A1
20080133518 Kapoor et al. Jun 2008 A1
20080134311 Medvinsky et al. Jun 2008 A1
20080148340 Powell et al. Jun 2008 A1
20080159145 Muthukrishnan et al. Jul 2008 A1
20080178278 Grinstein et al. Jul 2008 A1
20080201599 Ferraiolo et al. Aug 2008 A1
20080205613 Lopez Aug 2008 A1
20080222646 Sigal et al. Sep 2008 A1
20080225710 Raja et al. Sep 2008 A1
20080229415 Kapoor et al. Sep 2008 A1
20080253395 Pandya Oct 2008 A1
20080256224 Kaji et al. Oct 2008 A1
20080275843 Lal et al. Nov 2008 A1
20080288661 Galles Nov 2008 A1
20080301760 Lim Dec 2008 A1
20090028337 Balabine et al. Jan 2009 A1
20090049230 Pandya Feb 2009 A1
20090070617 Arimilli et al. Mar 2009 A1
20090077619 Boyce Mar 2009 A1
20090094610 Sukirya Apr 2009 A1
20090119504 van Os et al. May 2009 A1
20090125496 Wexler et al. May 2009 A1
20090125532 Wexler et al. May 2009 A1
20090125625 Shim et al. May 2009 A1
20090138749 Moll et al. May 2009 A1
20090141891 Boyen et al. Jun 2009 A1
20090196282 Fellman et al. Aug 2009 A1
20090228956 He et al. Sep 2009 A1
20090287935 Aull et al. Nov 2009 A1
20090296624 Ryu et al. Dec 2009 A1
20090300407 Kamath et al. Dec 2009 A1
20100011434 Kay Jan 2010 A1
20100017846 Huang et al. Jan 2010 A1
20100023582 Pedersen et al. Jan 2010 A1
20100071048 Novak et al. Mar 2010 A1
20100115236 Bataineh et al. May 2010 A1
20100122091 Huang et al. May 2010 A1
20100150154 Viger et al. Jun 2010 A1
20100165877 Shukla et al. Jul 2010 A1
20100242092 Harris et al. Sep 2010 A1
20100251330 Kroeselberg et al. Sep 2010 A1
20100278733 Karsten et al. Nov 2010 A1
20100322250 Shetty et al. Dec 2010 A1
20100325277 Muthiah et al. Dec 2010 A1
20110040889 Garrett et al. Feb 2011 A1
20110047620 Mahaffey et al. Feb 2011 A1
20110066718 Susai et al. Mar 2011 A1
20110153822 Rajan et al. Jun 2011 A1
20110154443 Thakur et al. Jun 2011 A1
20110173295 Bakke et al. Jul 2011 A1
20110184733 Yu et al. Jul 2011 A1
20110208714 Soukal et al. Aug 2011 A1
20110246800 Accpadi et al. Oct 2011 A1
20110273984 Hsu et al. Nov 2011 A1
20110282997 Prince et al. Nov 2011 A1
20110321122 Mwangi et al. Dec 2011 A1
20120016994 Nakamura et al. Jan 2012 A1
20120039341 Latif et al. Feb 2012 A1
20120041965 Vasquez et al. Feb 2012 A1
20120063314 Pignataro et al. Mar 2012 A1
20120066489 Ozaki et al. Mar 2012 A1
20120101952 Raleigh et al. Apr 2012 A1
20120191847 Nas et al. Jul 2012 A1
20120311153 Morgan Dec 2012 A1
20120317266 Abbott Dec 2012 A1
20130029726 Berionne et al. Jan 2013 A1
20130091002 Christie et al. Apr 2013 A1
20130198322 Oran et al. Aug 2013 A1
20130336122 Barush et al. Dec 2013 A1
20140025823 Szabo et al. Jan 2014 A1
20140040478 Hsu et al. Feb 2014 A1
20140095661 Knowles et al. Apr 2014 A1
20140269484 Dankberg et al. Sep 2014 A1
20140317404 Carlson et al. Oct 2014 A1
Foreign Referenced Citations (14)
Number Date Country
0744850 Nov 1996 EP
2244418 Oct 2010 EP
2448071 Jan 2008 GB
WO 9114326 Sep 1991 WO
WO 9505712 Feb 1995 WO
WO 9709805 Mar 1997 WO
WO 9745800 Dec 1997 WO
WO 9905829 Feb 1999 WO
WO 9906913 Feb 1999 WO
WO 9910858 Mar 1999 WO
WO 9939373 Aug 1999 WO
WO 9964967 Dec 1999 WO
WO 0004422 Jan 2000 WO
WO 0004458 Jan 2000 WO
Non-Patent Literature Citations (19)
Entry
“Testing for Cross site scripting”. In The Open Web Application Security Project (OWASP) [online]. Feb. 24, 2011; [retrieved on May 2, 2013]. Retrieved from the Internet: <http://web.archive.org/web/20110224154014/http://www.owasp.org/index.php/Testing—for—Cross—site—scripting>.
“A Process for Selective Routing of Servlet Content to Transcoding Modules,” Research Disclosure 422124, Jun. 1999, pp. 889-890, IBM Corporation.
F5 Networks, Inc., “BIG-IP Controller with Exclusive OneConnect Content Switching Feature Provides a Breakthrough System for Maximizing Server and Network Performance,” Press Release, May 8, 2001, 2 pages, Las Vegas, Nevada.
Crescendo Networks, “Application Layer Processing (ALP),” 2003-2009, pp. 168-186, Chapter 9, CN-5000E/5500E, Foxit Software Company.
Fielding et al., “Hypertext Transfer Protocol—HTTP/1.1,” Network Working Group, RFC: 2068, Jan. 1997, pp. 1-162.
Fielding et al., “Hypertext Transfer Protocol—HTTP/1.1,” Network Working Group, RFC: 2616, Jun. 1999, pp. 1-176, The Internet Society.
Floyd et al., “Random Early Detection Gateways for Congestion Avoidance,” Aug. 1993, pp. 1-22, IEEE/ACM Transactions on Networking, California.
Hochmuth, Phil, “F5, CacheFlow pump up content-delivery lines,” Network World Fusion, May 4, 2001, 1 page, Las Vegas, Nevada.
Schaefer, Ken, “IIS and Kerberos Part 5—Protocol Transition, Constrained Delegation, S4U2S and S4U2P,” Jul. 18, 2007, 21 pages, http://www.adopenstatic.com/cs/blogs/ken/archive/2007/07/8460.aspx.
“Servlet/Applet/HTML Authentication Process With Single Sign-On,” Research Disclosure 429128, Jan. 2000, pp. 163-164, IBM Corporation.
“Traffic Surges; Surge Queue; Netscaler Defense,” 2005, PowerPoint Presentation, slides 1-12, Citrix Systems, Inc.
Williams et al., “Forwarding Authentication,” The Ultimate Windows Server 2003 System Administrator's Guide, 2003, 2 pages, Figure 10.7, Addison-Wesley Professional, Boston, Massachusetts.
“Windows Server 2003 Kerberos Extensions,” Microsoft TechNet, 2003 (Updated Jul. 31, 2004), http://technet.microsoft.com/en-us/library/cc738207, Microsoft Corporation.
MacVittie, Lori, “Message-Based Load Balancing,” Technical Brief, Jan. 2010, pp. 1-9, F5 Networks, Inc.
F5 Networks Inc., “Configuration Guide for Local Traffic Management”, F5 Networks Inc., Jan. 2006, version 9.2.2, 406 pgs.
International Search Report for International Patent Application No. PCT/US2012/071648 (May 27, 2013).
Abad, C., et al., “An Analysis on the Schemes for Detecting and Preventing ARP Cache Poisoning Attacks”, IEEE, Computer Society, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), 2007, pp. 1-8.
OWASP, “Testing for Cross site scripting”, OWASP Testing Guide v2, Table of Contents, Feb. 24, 2011, pp. 1-5, (www.owasp.org/index.php/Testing—for—Cross—site—scripting).
International Search Report and the Written Opinion, for International Patent Application No. PCT/US2011/058469, Date of Mailing: Mar. 10, 2015.
Related Publications (1)
Number Date Country
20130173779 A1 Jul 2013 US