FRPWPS: A Filter Driver and Reverse Proxy Based Web Protection System
Abstract
Keywords
References
[1] News Office of State,the White Paper of Status of Chinese Internet . HTTP://www.gov.cn/zwgk/2010-06/08/content_1622866.htm,2010
[2] ZHANG Lei,WANG Lina,WANG Dejun. Model of Webpage Tamper-Proof System. Journal of wuhan university (Science Edition), 55(1):121-124,2009.
[3] http://www.inforguard.com.
[4] http://www.jlsykj.com.cn.
[5] M. Roesch. Snort: Lightweight intrusion detection for networks. In Proc. of USENIX Large Installation System Administration Conference LISA, 229-238, 1999.
[6] V. Paxson. Bro: A system for detecting network intruders in real-time. Computer Networks, 31(23-24):2435-2466, Dec. 1999.
http://dx.doi.org/10.1016/S1389-1286(99)00112-7
[7] T.Ryutov,C.Neuman,D.Kim,L.Zhou. Integrated Access Control and Intrusion Detection for web servers. IEEE transactions on parallel and distributed systems. 14(9):841-850, 2003.
http://dx.doi.org/10.1109/TPDS.2003.1233707
[8] Ivan Ristic. ModSecurity Handbook. Feisty Duck Press. 2010.
[9] 9. W. Robertson, G. Vigna, C. Kruegel, and R. A.Kemmerer. Using generalization and characterization techniques in the anomaly-based detection of web attacks. In Proc. of Network and Distributed System Security Symposium (NDSS), 2006.
[10] R. Perdisci, D. Ariu, P. Fogla, G. Giacinto, and W. Lee. McPAD: A multiple classier system for accurate payload-based anomaly detection. Computer Networks,53(6):864-881, 2009.
http://dx.doi.org/10.1016/j.comnet.2008.11.011
[11] K. Rieck and P. Laskov. Linear-time computation of similarity measures for sequential data. Journal of Machine Learning Research, 9(Jan):23-48, 2008.
[12] S. Sun,Y. Wang. "Research and application of an improved support vector clustering algorithm on anomaly detection," Journal of Software, 5(3):328-335, 2010.
[13] C. Kruegel and G. Vigna. Anomaly detection of web-based attacks. In Proc. of 10th ACM Conf. on Computer and Communications Security, pages 251-261, 2003.
[14] F. Valeur, G. Vigna, C. Kruegel, and E. Kirda. An anomaly-driven reverse proxy for web applications. In Proc. of the 2006 ACM symposium on Applied computing, pages 361-368, 2006.
[15] K. L. Ingham, A. Somayaji, J. Burge, and S. Forrest. Learning DFA representations of HTTP for protecting web applications. Computer Networks, 51(5):1239-1255, 2007.
http://dx.doi.org/10.1016/j.comnet.2006.09.016
[16] Y. Song, A. D. Keromytis, and S. J. Stolfo. Spectrogram: A mixture-of-markov-chains model for anomaly detection in web traffic. In Proc. of Network and Distributed System Security Symposium (NDSS), 2009.
[17] G. Vigna, F. Valeur, D. Balzarotti, W. Robertson, C. Kruegel, and E. Kirda. Reducing errors in the anomaly-based detection of web-based attacks through the combined analysis of web requests and SQL queries. Journal Computer Security, 17(3):305-329, 2009.
[18] Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov, TokDoc: a self-healing web application firewall, Proceedings of the 2010 ACM Symposium on Applied Computing, March 22-26, 2010, Sierre, Switzerland [doi>10.1145/1774088.1774480]
[19] Walter Oney. Programming the Microsoft Windows Driver Mode. 2nd Edition Ebook. Washington, USA:Microsoft Press,2003.
[20] Sample Performance Tests of Webserver Stress Tool. HTTP://www.paessler.com/webstress/sample_performance_tests
[21] Xiao Rong.WIS. HTTP://www.netxeyes.com/main.html
[22] What is JFtp about?[DB/OL]. http://j-ftp.sourceforge.net/
Full Text: PDF


