Immune system approaches to intrusion detection - A review

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3239, Issue , 2004, Pages 316-329

  Aickelin, Uwe ^a   Greensmith, Julie ^a   Twycross, Jamie ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Artificial immune systems; Intrusion detection systems; Literature review

Indexed keywords

IMMUNE SYSTEM; MERCURY (METAL); NETWORK SECURITY; SECURITY OF DATA;

ARTIFICIAL IMMUNE SYSTEM; BIOLOGICALLY INSPIRED; COMPLEX NATURE; HUMAN IMMUNE SYSTEMS; INTRUSION DETECTION SYSTEMS; LITERATURE REVIEWS; SELF-ORGANISED; SYSTEM APPROACH;

INTRUSION DETECTION;

EID: 33751017631     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30220-9_26     Document Type: Article

References (36)

1. U Aickelin, P Bentley, S Cayzer, J Kim, and J McLeod. Danger theory: The link between ais and ids. In Proc. of the Second Internation Conference on Artificial Immune Systems (ICARIS-03), pages 147-155, 2003.
2. J Balthrop, F Esponda, S Forrest, and M Glickman. Coverage and generaliszation in an artificial immune system. Proceedings of GECCO, pages 3-10, 2002.
3. J Balthrop, S Forrest, and M Glickman. Revisiting lisys: Parameters and normal behaviour. Proceedings of the Congress on Evolutionary Computation, pages 1045-1050, 2002.
4. K Begnum and M Burgess. A scaled, immunological approach to anomaly countermeasures (combining ph with cfengine). Integrated Network Management, pages 31-42, 2003.
5. J Boudec and S Sarafijanovic. An artificial immune system approach to misbehavior detection in mobile ad-hoc networks. Technical Report IC/2003/59, Ecole Polytechnique Federale de Lausanne, 2003.
6. M Burgess. Computer immunology. In Proc. of the Systems Administration Conference (LISA-98), pages 283-297, 1998.
7. D Dasgupta and N Attoh-Okine. Immunity-based systems: A survey. IEEE Int Conference on Systems, Man and Cybernetics, 1997.
8. D Dasgupta and S Forrest. Novelty detection in time series data using ideas from immunology, proceedings of the 5th International Conference on Intelligent Systems, Reno, 1996.
9. D Dasgupta and F Gonzalez. An immunity-based technique to characterize intrusions in computer networks. IEEE Transactions on Evolutionary Computation, 6(3):281-291, 2002.
10. L de Castro and J Timmis. Artificial Immune Systems: A New Computational Intelligence Approach. Springer, 2002.
11. H Debar, M Dacier, and A Wespi. vised taxonomy of intrusion-detection systems. Annales des Telecommunications, 55:83-100, 2000.
12. Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri. Self-nonself discrimination in a computer. In Proceedings of the 1994 IEEE Symposium on Security and Privacy, page 202. IEEE Computer Society, 1994.
13. Richard A. Goldsby, Thomas J. Kindt, Barbara A. Osborne, and W H Freeman, editors. Kubi Immunology. W. H. Freeman and Co., 5th ed edition, 2002.
14. F Gonzalez and D Dasgupta. Anomaly detection using real-valued negative selection. Journal of Genetic Programming and Evolvable Machines, 4:383-403, 2003.
15. Georges Grinstein. Information exploration shootout or benchmarks for information exploration. In Proceedings of the 7th conference on Visualization '96, pages 449-450. IEEE Computer Society Press, 1996.
16. S Hofmeyr and S Forrest. Intrusion detection using sequences of system calls. Journal of Computer Security, 6:151-180, 1998.
17. S Hofmeyr and S Forrest. Immunity by design. Proceedings of GECCO, pages 1289-1296, 1999.
18. Steven Hofmeyr. An immunological model of distributed detection and its application to computer security. PhD thesis, University Of New Mexico, 1999.
19. N K Jerne. Towards a network theory of the immune system. Annals of Immunology, 125:373-389, 1974.
20. J Kephart. A biologically inspired immune system for computers. In Proceedings of the Fourth International Workshop on Synthesis and Simulatoin of Living Systems, Artificial Life IV, pages 130-139, 1994.
21. J Kim and P Bentley. Evaluating negative selection in an artificial immune system for network intrusion detection. Proceedings of GECCO, pages 1330-1337, July 2001.
22. J Kim and P J Bentley. Towards an artificial immune system for network intrusion detection: An investigation of dynamic clonal selection. In the Congress on Evolutionary Computation (CEC-2001), Seoul, Korea, pages 1244-1252, 2001.
23. J W Kim. Integrating Artificial Immune Algorithms for Intrusion Detection. PhD thesis, University College London, 2002.
24. Jungwon Kim. An artificial immune system for network intrusion detection. In Una-May O'Reilly, editor, Graduate Student Workshop, pages 369-370, Orlando, Florida, USA, 13 1999.
25. Lincoln Labs. 1999 dataset. MIT Lincoln Labs, 1999.
26. J Leach and G Tedesco. Firestorm network intrusion detection system. Firestorm Documentation, 2003.
27. T. Lunt, A. Tamaru, F. Gilham, R. Jagannathan, P. Neumann, H. Javitz, A. Valdes, and T. Garvey. A real-time intrusion detection expert system (ides) - final technical report. Technical report, Computer Science Laboratory, SRI International, California, 1992.
28. P Matzinger. An innate sense of danger. Seminars in Immunology, 10:399-415, 1998.
29. NIST. Intrusion detection systems. NIST Computer Science Special Reports SP 800-31, November 2001.
30. S Northcutt and J Novak. Network Intrusion Detection. New Riders, 3rd edition, 2003.
31. Nessus Project, http://www.nessus.org.
32. M Roesch and C Green. Snort users manual snort release: 2.0.1. Snort Documentation, 2003.
33. S Sarafijanovic and J Boudec. An artificial immune system approach with secondary response for misbehavior detection in mobile ad-hoc networks. Technical Report IC/2003/65, Ecole Polytechnique Federale de Lausanne, 2003.
34. A Somayaji, S Forrest, S Hofmeyr, and T Longstaff. A sense of self for unix processes. IEEE Symposium on Security and Privacy, pages 120-128, 1996.
35. Anil B Somayaji. Operating System Stability and Security Through Process Homeostasis. PhD thesis, University Of New Mexico, July 2002.
36. P Williams, K Anchor, J Bebo, G Gunsch, and G Lamont. Cdis: Towards a computer immune system for detecting network intrusions. In In RAID 2001, volume 2212, pages 117-133, 2001.