Information fusion for intrusion detection

Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000

Volumn 2, Issue , 2000, Pages

  Ye, Nong ^a   Xu, Mingming ^a  

^a Arizona State University   (United States)

Author keywords

artificial neural network; Information fusion; intrusion detection; linear regression; logistic regression

Indexed keywords

COMPUTER NETWORKS; INTRUSION DETECTION; LINEAR REGRESSION; NEURAL NETWORKS; REGRESSION ANALYSIS;

COMPUTER AND NETWORKS; EVALUATION RESULTS; INFORMATION FUSION TECHNIQUES; LOGISTIC REGRESSIONS;

INFORMATION FUSION;

EID: 68949175922     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFIC.2000.859878     Document Type: Conference Paper

References (14)

1. A. K. Ghosh, J. Wanken, and F. Charron. Detecting anomalous and unknown intrusions against programs. In proceedings of the 1998 Annual Computer Security Applications Conference (ACSAC 98), December 1998
2. T. F. Lunt IDES: an intelligent system for detecting intruders. In Proceedings of the symposium: Computer Security. Threat and Countermeasures, November 1990. Rome, Italy.
3. T. F. Lunt. A survey of intrusion detection techniques. Computers and Security, 12:405-418, 1993.
4. T. F. Lunt and R. Jagannathan, A prototype real-time intrusion-detection system. In proceedings of 1988 IEEE Symposium on Security and Privacy, April 1988.
5. T. F. Lunt, A. Tamaru, F. Gilham, R. Jagannthan, C. Jalali, H. S. Javitz, A. Valdos, P. G. Neumann, and T. D. Garvey. A real-time intrusion -detection expert system(ides). Technical Report, Computer Science Laboratory, SRI International, February 1992.
6. P. A. Porras and P. G. Neumann Emerald: Event monitoring enabling responses to anomalous live disturbances. In Proceedings of the 2dh National Information Systems Security Conference, pages 353-365, October 1997.
7. K. Ilgun. Ustat: A real-time intrusion detection system for UNIX. Masters thesis, Computer Science, UCSB, July, 1992.
8. K. Ilgun, A. A. Kemmerer, and P. A. Porras. State transition analysis: A rule-based intrusion detection system. IEEE Transactions on Software Engineering, 21(3), March 1995.
9. W. Lee, S. Stolfo, and P.K. Chan. Learning patterns from UNIX process execution traces for intrusion detection. In Proceedings of AAAI97 Workshop on AI Methods in Fraud and Risk Management, 1997.
10. P. A. Porras and R. A. Kemmerer. Penetration state transition analysis- a rule-based intrusion detection approach. In Eight Annual Computer Security Applications Conference, pages 220-229, IEEE Computer Society Press, November 1992.
11. G. Vignaand R. A. Kemmerer NETstat: A network-based intrusion detection approach. In Proceedings of the 1998 Annual Computer Security Applications Conference (ACSAC98), pages 25-34, Los Alamitos, CA, December 1998. IEEE Computer Society, IEEE Computer Society Press. Scottsdale, AZ.
12. http://ml-www.cs.uiriass.edu/iti
13. T. M. Mitchell, Machine Learning. Boston, Massachusetts WCB McGraw-Hill, 1997.
14. J. Neter, M. H. Kutner, C. J. Nachtsheim, and W. Wasserman, Applied Linear Statistical Models, Chicago: IEWIN, 1996.