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» Host Based Intrusion Detection using Machine Learning
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RAID
2005
Springer
13 years 10 months ago
Towards Software-Based Signature Detection for Intrusion Prevention on the Network Card
Abstract. CardGuard is a signature detection system for intrusion detection and prevention that scans the entire payload of packets for suspicious patterns and is implemented in so...
Herbert Bos, Kaiming Huang
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
13 years 8 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
CSDA
2008
147views more  CSDA 2008»
13 years 5 months ago
Detection of unknown computer worms based on behavioral classification of the host
Machine learning techniques are widely used in many fields. One of the applications of machine learning in the field of the information security is classification of a computer be...
Robert Moskovitch, Yuval Elovici, Lior Rokach
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 5 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
RAID
2000
Springer
13 years 8 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...