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» Data Fusion and Cost Minimization for Intrusion Detection
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ASIAMS
2008
IEEE
14 years 3 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
INFOCOM
2003
IEEE
14 years 2 months ago
Detecting Network Intrusions via Sampling: A Game Theoretic Approach
In this paper, we consider the problem of detecting an intruding packet in a communication network. Detection is accomplished by sampling a portion of the packets transiting selec...
Murali S. Kodialam, T. V. Lakshman
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 2 months ago
Dendritic cells for SYN scan detection
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
Julie Greensmith, Uwe Aickelin
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 9 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
CCS
2009
ACM
14 years 3 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...