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102
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ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
15 years 5 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña
ICARIS
2007
Springer
15 years 5 months ago
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Comp
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
NDSS
2000
IEEE
15 years 4 months ago
Building Adaptive and Agile Applications Using Intrusion Detection and Response
Traditional Intrusion Detection Systems (IDSs) mostly work off-line, without any direct runtime interaction or coordination with the applications (and with other IDSs) that they a...
Joseph P. Loyall, Partha Pratim Pal, Richard E. Sc...
91
Voted
ISI
2007
Springer
14 years 11 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
MOBICOM
2000
ACM
15 years 4 months ago
Intrusion detection in wireless ad-hoc networks
As the recent denial-of-service attacks on several major Internet sites have shown us, no open computer network is immune from intrusions. The wireless ad-hoc network is particula...
Yongguang Zhang, Wenke Lee