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CN
2007
106views more  CN 2007»
14 years 9 months ago
Learning DFA representations of HTTP for protecting web applications
Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
IPPS
2007
IEEE
15 years 4 months ago
An Approach to Detect Executable Content for Anomaly Based Network Intrusion Detection
Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...
Like Zhang, Gregory B. White
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...
CORR
2008
Springer
127views Education» more  CORR 2008»
14 years 9 months ago
Intrusion Detection in Mobile Ad Hoc Networks Using Classification Algorithms
In this paper we present the design and evaluation of intrusion detection models for MANETs using supervised classification algorithms. Specifically, we evaluate the performance of...
Aikaterini Mitrokotsa, Manolis Tsagkaris, Christos...
JCS
2002
100views more  JCS 2002»
14 years 9 months ago
STATL: An Attack Language for State-Based Intrusion Detection
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...