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» A nonself space approach to network anomaly detection
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ICDCSW
2006
IEEE
15 years 3 months ago
An Evaluation of the Effectiveness of Measurement-based Anomaly Detection Techniques
A number of recent studies have proposed measurement based approaches to network traffic analysis. These techniques treat traffic volume and traffic header data as signals or imag...
Seong Soo Kim, A. L. Narasimha Reddy
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
15 years 3 months ago
Network Intrusion Detection Using Genetic Clustering
Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...
Elizabeth Leon, Olfa Nasraoui, Jonatan Góme...
RAID
1999
Springer
15 years 1 months ago
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
Alexandr Seleznyov, Seppo Puuronen
MINENET
2005
ACM
15 years 3 months ago
Learning-based anomaly detection in BGP updates
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
Jian Zhang, Jennifer Rexford, Joan Feigenbaum
CVPR
2009
IEEE
16 years 4 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...