IDS vulnerability analysis using Genertia red teams

Proceedings of the International Conference on Security and Management

Volumn 1, Issue , 2003, Pages 171-176

  Dozier, Gerry ^a  

^a AUBURN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; COMPUTER SIMULATION; INTERACTIVE COMPUTER SYSTEMS; LEARNING SYSTEMS;

INTERACTIVE TOOL; INTRUSION DETECTION SYSTEMS;

SECURITY OF DATA;

EID: 1642333153     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Balthrop, J., Forrest, S. and Glickman, M. (2002). "Revisiting LISYS: Parameters and Normal Behavior", Proceedings of the 2002 Congress on Evolutionary Computation (CEC'02), IEEE Press.
2. Bloedorn, E., Christiansen, A. D., Hill, W., Skorupka C., Talbot, L. M., and Tivel, J. (2001). "Data Mining for Network Intrusion Detection: How to Get Started", available at: www.mitre.org/support/papers/archive01.shtml, The MITRE Corporation, August 2001.
3. Cannady, J. (1998). "Artificial Neural Networks for Misuse Detection", Proceedings of the 1998 National Information Systems Security Conference (NISSC'98), pp. 443-456, October 5-8 1998, Arlington, VA.
4. Davis, L. (1991). Handbook of Genetic Algorithms, Van Nostrand Reinhold.
5. Dasgupta, D. (1999). "An Overview of Artificial Immune Systems and Their Applications", Artificial Immune Systems and Their Applications, D. Dasgupta, ed., pp. 3-21, Springer.
6. Dasgupta, D. and Gonzalez, F. (2002)., "An Immunity-Based Technique to Characterize Intrusions in Computer Networks", IEEE Transactions on Evolutionary Computation, Vol. 6, No. 3, pp. 281-291. IEEE Press.
7. Eshelman, L. and Schaffer, J. D. (1992). "Real-Coded Genetic Algorithms and Interval-Schemata", Proceedings of the 1992 Foundations of Genetic Algorithms (FOGA-2), L. Darrell Whitley, ed., pp. 187-202, Morgan Kaufmann.
8. Fogel, D. B. (2000). Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 2nd Edition, IEEE Press.
9. Goldberg, D. E. and Deb, K. (1989). "A Comparative Analysis of Selection Schemes Used in Genetic Algorithms", Foundations of Genetic Algorithms (1989), Gregory J. E. Rawlins, ed., pp. 69-93, Morgan Kaufmann Publishers.
10. Hofmeyr, S. (1999). An Immunological Model of Distributed Detection and Its Application to Computer Security, Ph.D. Dissertation, Department of Computer Science, The University of New Mexico.
11. Hofmeyr, S., and Forest, S. (1998). "Immunity by Design: An Artificial Immune System", The Proceedings of the 1999 Genetic and Evolutionary Computation Conference (GECCO-1999), pp. 1289-1296, Morgan-Kaufmann, San Francisco.
12. Hofmeyr, S., and Forrest, S. (1999). "Architecture for an Artificial Immune System", Evolutionary Computation, 7(1):45-68.
13. Honeynet Project (2002). Know Your Enemy: Revealing the Security Tools, Tactics, and Motives of the Blackhat Community, Addison-Wesley.
14. Hou, H. (2002). Artificial Immunity for Computer Network with Constraint-Based Detector, Masters Thesis, Department of Computer Science and Software Engineering, Auburn University.
15. Hou, H., Zhu, J., and Dozier, G. (2002). "Artificial Immunity Using Constraint-Based Detectors", Proceedings of the 2002 World Automation Congress (WAC'02), vol. 13, pp. 239-244, TSI Press.
16. Marchette, D. J. (1999). "A Statistical Method for Profiling Network Traffic", Proceedings of the USENIX Workshop on Intrusion Detection and Network, pp. 119-128.
17. Marchette, D. J. (2001). Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint, Springer.
18. Mitchell, T.M. (1997). Machine Learning, McGraw-Hill.
19. Northcutt, S. and Novak, J. (2001). Network Intrusion Detection: An Analyst's Handbook, 2nd edition, New Riders.
20. Northcutt, S., Cooper, M., Fearnow M., and Frederick, K. (2001). Intrusion Signatures and Analysis, New Riders.
21. Somayaji, A., Hofmeyr, S., and Forrest, S. (1997). "Principles of a Computer Immune System", The 1997 New Security Paradigm Workshop, pp. 75-82.
22. Stewart, A. J. (1999). "Distributed Metastasis: A Computer Network Penetration Methodology", available at: citeseer.nj.nec.com/387640.html.
23. Yokoo, M. (2001). Distributed Constraint Satisfaction, Springer-Verlag.
24. Zhu, J. (2002). Use of an Immune Model to Improve Intrusion Detection on Dynamic Broadcast Local Area Networks, Masters Thesis, Department of Computer Science & Software Engineering, Auburn University.