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» MEPIDS: Multi-Expression Programming for Intrusion Detection...
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ICMLA
2003
13 years 6 months ago
Robust Support Vector Machines for Anomaly Detection in Computer Security
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
Wenjie Hu, Yihua Liao, V. Rao Vemuri
TISSEC
2010
119views more  TISSEC 2010»
12 years 12 months ago
Storage-Based Intrusion Detection
Storage-based intrusion detection allows storage systems to transparently watch for suspicious activity. Storage systems are well-positioned to spot several common intruder action...
Adam G. Pennington, John Linwood Griffin, John S. ...
IEEEARES
2010
IEEE
13 years 7 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
EVOW
2009
Springer
13 years 3 months ago
Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...
Agustín Orfila, Juan M. Estévez-Tapi...
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 5 months ago
ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System
: Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the protection of computing systems again...
Vitorino Ramos, Ajith Abraham