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JAIHC
2010
205views more  JAIHC 2010»
13 years 3 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
Chet Langin, Shahram Rahimi
IEEECIT
2010
IEEE
13 years 3 months ago
Selective and Early Threat Detection in Large Networked Systems
—The complexity of modern networked information systems, as well as all the defense-in-depth best practices, require distributed intrusion detection architectures relying on the ...
Michele Colajanni, Mirco Marchetti, Michele Messor...
IDEAL
2010
Springer
13 years 3 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
GPEM
2010
134views more  GPEM 2010»
13 years 3 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SP
2002
IEEE
13 years 4 months ago
Stateful Intrusion Detection for High-Speed Networks
As networks become faster there is an emerging need for security analysis techniques that can keep up with the increased network throughput. Existing network-based intrusion detec...
Christopher Krügel, Fredrik Valeur, Giovanni ...
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...
JCS
2002
115views more  JCS 2002»
13 years 4 months ago
Panoptis: Intrusion Detection Using a Domain-Specific Language
We describe the use of a domain-specific language (DSL) for expressing critical design values and constraints in an intrusion detection application. Through the use of this specia...
Diomidis Spinellis, Dimitris Gritzalis
JCS
2002
100views more  JCS 2002»
13 years 4 months ago
STATL: An Attack Language for State-Based Intrusion Detection
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...
JCS
2002
103views more  JCS 2002»
13 years 4 months ago
Toward Cost-Sensitive Modeling for Intrusion Detection and Response
Intrusion detection systems (IDSs) must maximize the realization of security goals while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion...
Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. S...
CN
1999
128views more  CN 1999»
13 years 4 months ago
Intrusion detection systems as evidence
: Although the main aim of IDSs is to detect intrusions to prompt evasive measures, a further aim can be to supply evidence in criminal and civil legal proceedings. However the fea...
Peter Sommer