User profiling for computer security

Proceedings of the American Control Conference

Volumn 2, Issue , 2004, Pages 982-987

  Pepyne, David L ^a   Hu, Jinghua ^b   Gong, Weibo ^b  

^a HARVARD UNIVERSITY   (United States)

^b University of Massachusetts   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION REVOLUTION; INTRUSION DETECTION SYSTEMS (IDS); USER PROFILING;

COMPUTER NETWORKS; COMPUTER SIMULATION; COMPUTER SOFTWARE; CONTROL THEORY; ELECTROMECHANICAL DEVICES; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

SECURITY OF DATA;

EID: 8744287319     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. D. Anderson, T.G. Lunt, H. Javitz, A. Tamaru, and A. Valdes, "Detecting Unusual Program Behavior using the Statistical Components of the Next-Generation Intrusion Detection Expert System (NIDES)," Computer Science Laboratory, SRI-CSL-95-06, May 1995.
2. R. Clandos, "Eye on Cybercrime," IEEE Security & Privacy Magazine, Vol. 1, No. 4, July/August 2003.
3. G. Cybenko, "Boiling Frogs," IEEE Security & Privacy Magazine, Vol. 1, No. 4, pg. 5, July/August 2003.
4. D. Denning, "An Intrusion Detection Model," IEEE Trans. on Software Engineering, Vol. 13, No. 2, pp. 222-232, 1987.
5. L. Fausett, Fundamentals of Neural Networks: Prentice Hall, 1994.
6. S. Greenberg, "Using UNIX: Collected Traces of 168 Users," Research Report 88-333-45, Dept. of Computer Science, University of Calgary, Calgary, Canada, 1988.
7. th Annual Computer Security Applications Conference (ACSAC'01), New Orleans, LA, December 2001.
8. th IEEE Real-Time Technology and Applications Symposium (RTAS'01), 2001.
9. W. Lee and S.J. Stolfo, "A Framework for Constructing Features and Models for Intrusion Detection Systems," ACM Trans. on Information and System Security, Vol. 3, No. 4, 2000.
10. st ACM Workshop on Intrusion Detection Systems, Athens, Greece, 2000.
11. D. Pepyne, W. Gong, and Y. Ho, "Modeling and Simulation for Network Vulnerability Assessment," presented at the 40th U.S. Army Ops. Research Symposium (AORS), Fort Lee, VA, October 9-11, 2001.
12. J.C. Pezzullo, Logistic Regression Calculating Page, http://members.aol. com/johnp71/logistic.html.
13. M. Schonlau, "Masquerading User Data," http://www.schonlau.net/ intrusion.html, 1998.
14. A. Seleznyov, O. Mazhelis, and S. Puuronen, "Learning Temporal Regularities of User Behavior for Anomaly Detection," International Workshop MMM-ACNS, St. Petersburg, Russia, 2001.
15. A. Seleznyov and S. Puuronen, "Anomaly Intrusion Detection Systems: Handling Temporal Relations between Events," Recent Advances in Intrusion Detection (RAID'99), 1999.
16. A. Seleznyov, T. Terziyam, and S. Puuronen, "Temporal Probabilistic Network Approach for Anomaly Intrusion Detection," 1st Conf. on Comp. Security Incident Handling and Response, 2000.
17. "Stop Thieves from Stealing You," Consumer Reports, pp. 12-17, October 2003.
18. J. Whitehead, "An Introduction to Logistic Regression," http://personal.ecu.edu/whiteheadj/data/logit/.
19. C. Zou, L. Gao, W. Gong, and D. Towsley, "Monitoring and Early Warning for Internet Worms," University of Massachusetts, Elec. and Comp. Eng. Tech. Rpt TR-CSE-03-01, 2003.
20. C. Zou, W. Gong, and D. Towsley, "Code Red Worm Propagation Modeling and Analysis," Proceedings of CCS'02, Washington D.C., November, 2002.