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» LIDS: Learning Intrusion Detection System
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GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
14 years 28 days ago
Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
Gerry V. Dozier, Douglas Brown, John Hurley, Kryst...
HT
2005
ACM
14 years 1 months ago
Information visualization for an intrusion detection system
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
James Blustein, Ching-Lung Fu, Daniel L. Silver
RAID
2009
Springer
14 years 2 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
ICETE
2004
253views Business» more  ICETE 2004»
13 years 9 months ago
BLAZE: A Mobile Agent Paradigm for VoIP Intrusion Detection Systems
ser provides abstraction for supporting flexible security policies that can be developed using the low-level primitives of the browser. We believe our browser architecture will be ...
Kapil Singh, Son T. Vuong
ASPLOS
2010
ACM
14 years 2 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli