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COMPSEC
2004
91views more  COMPSEC 2004»
13 years 4 months ago
Predicting the intrusion intentions by observing system call sequences
Identifying the intentions or attempts of the monitored agents through observations is very vital in computer network security. In this paper, a plan recognition method for predict...
Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Pein...
SP
1999
IEEE
194views Security Privacy» more  SP 1999»
13 years 9 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
JSS
2002
198views more  JSS 2002»
13 years 4 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
ACNS
2004
Springer
128views Cryptology» more  ACNS 2004»
13 years 10 months ago
A Novel Framework for Alert Correlation and Understanding
Abstract. We propose a novel framework named Hidden Colored PetriNet for Alert Correlation and Understanding (HCPN-ACU) in intrusion detection system. This model is based upon the ...
Dong Yu, Deborah A. Frincke
FLAIRS
2001
13 years 6 months ago
Learning and Predicting User Behavior for Particular Resource Use
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
Jung Jin Lee, Robert McCartney, Eugene Santos Jr.