Intrusion detection system using self organizing maps

2009 International Conference on Intelligent Agent and Multi-Agent Systems, IAMA 2009

Volumn , Issue , 2009, Pages

  Pachghare, V K ^a   Kulkarni, Parag ^b   Nikam, Deven M ^a  

^a Department of Instrumentation & Control Engineering   (India)

^b Capsilon Research Labs   (India)

Author keywords

Intrusion detection system; Neural networks; Self organizing maps

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; INTRUSION DETECTION SYSTEM; INTRUSION DETECTION SYSTEMS; RAPID EXPANSION; SECURITY BREACHES; SECURITY OFFICERS; SYSTEM ADMINISTRATORS;

COMPUTER CRIME; COMPUTER NETWORKS; MULTI AGENT SYSTEMS; SELF ORGANIZING MAPS;

INTRUSION DETECTION;

EID: 70350448616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAMA.2009.5228074     Document Type: Conference Paper

References (11)

1. Damiano Bolzoni, Sandro Etalle, Pieter H. Hartel, and Emmanuele Zambon. Poseidon: a 2-tier anomaly-based network intrusion detection system. In Proceedings of the 4th IEEE International Workshop on Information Assurance, 13-14 April 2006, Egham, Surrey, UK, pages 144-156, 2006.
2. D. A. Frincke, D. Tobin, J. C. McConnell, J. Marconi, and D. Polla. A framework for cooperative intrusion detection. In Proc. 21st NIST-NCSC National Information Systems Security Conference, pages 361-373, 1998.
3. Denning D, "An Intrusion-Detection Model", IEEE Transactions on Software Engineering, Vol. SE-13, No 2, Feb 1987.
4. Simon Haykin, "Neural Networks: A Comprehensive Foundation", Prentice Hall, 2nd edition, 1999.
5. Kohonen, T, "Self-Organizing Maps", Springer Series in Information Sciences. Berlin, Heidelberg: Springer. 1997.
6. P. Lichodzijewski, A. Zincir-Heywood, and M. Heywood. "Dynamic intrusion detection using self organizing maps", 2002.
7. McHugh, J.: Testing intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by lincoln laboratory. ACM Trans. on Information and System Security 3 (2000) 262-294.
8. Wenke Lee and Salvatore J. Stolfo, "A framework for constructing features and models for intrusion detection systems", ACM Trans. Inf. Syst. Secur., 3(4):227-261, 2000.
9. Rhodes, B., Mahaffey, J., Cannady, J., "Multiple Self-Organizing Maps for Intrusion Systems"
10. Bishop, C. M, "Neural Networks for Pattern Recognition", Oxford: Clarendon-Press, 1996.
11. Lane, T., and Brodley, C. E. 1999. Temporal sequence learning and data reduction for anomaly detection. ACM Transactions on Information and System Security 2(3):295-331.