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» Network Intrusion Detection Using Genetic Clustering
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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
NDSS
2005
IEEE
14 years 2 months ago
Enriching Intrusion Alerts Through Multi-Host Causality
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
Samuel T. King, Zhuoqing Morley Mao, Dominic G. Lu...
IWAN
2004
Springer
14 years 2 months ago
Distributed Instrusion Prevention in Active and Extensible Networks
The proliferation of computer viruses and Internet worms has had a major impact on the Internet Community. Cleanup and control of malicious software (malware) has become a key prob...
Todd S. Sproull, John W. Lockwood
IMC
2006
ACM
14 years 2 months ago
Approximate fingerprinting to accelerate pattern matching
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Ramaswamy Ramaswamy, Lukas Kencl, Gianluca Iannacc...
CIA
2008
Springer
13 years 10 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...