International Journal of Soft Computing

Year: 2015
Volume: 10
Issue: 1
Page No. 1 - 5

A Study of Buffer Overflow Attack Detection Using Artifical Immune System Based Danger Theory

Authors : S. Vasanthi and S. Chandrasekar

References

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Cowan, C., C. Pu, D. Maier, J. Walpole and P. Bakke et al., 1998. StackGuard: Automatic adaptive detection and prevention of Buffer-overflow attacks. Proceedings of the 7th USENIX Security Symposium, January 26-29, 1998, San Antonio, Texas -.

Dasgupta, D., 2006. Advances in artificial immune systems. Comput. Intell. Magazine, 1: 40-49.
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Iqbal, N. and M.A. Maarof, 2003. Potential issues in novel computational research: Artificial immune systems. Proceedings of the 7th International Multi Topic Conference, December 8-9, 2003, IEEE, pp: 340-345.

Krizhanovsky, A. and A. Marasanov, 2007. An approach for adaptive intrusion prevention based on the danger. Proceedings of the 2nd International Conference on Availability, Reliability and Security, April 10-13, 2007, Vienna, pp: 1135-1142.

Larochelle, D. and D. Evans, 2001. Statically detecting likely buffer overflow vulnerabilities. Proceedings of the 10th USENIX Security Conference, August 13-17, 2001, Washington, DC -.

Lindqvist, U. and P.A. Porras, 1999. Detecting computer and network misuse through the Production-based expert system toolset (P-BEST). Proceedings of the 1999 IEEE Symposium on Security and Privacy, May 9-12, 1999, Oakland, CA., pp: 146-161.

Toth, T. and C. Kruegel, 2002. Accurate buffer overflow detection via abstract payload execution. Distributed Systems Group, Technical University Vienna, Vienna.

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