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AINA
2004
IEEE
14 years 8 days ago
Online Training of SVMs for Real-time Intrusion Detection
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...
Zonghua Zhang, Hong Shen
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
14 years 1 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...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 9 months ago
A fuzzy-genetic approach to network intrusion detection
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...
Terrence P. Fries
SAC
2004
ACM
14 years 1 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
JCIT
2010
161views more  JCIT 2010»
13 years 3 months ago
Improvement on Intrusion Detection Technology Based on Protocol Analysis and Pattern Matching
With the development of high-speed network technique and increasing volume of network traffic, traditional pattern matching method can't adapt to the new challenges to intrus...
Liang Hu, Kuo Tang, Yu Ku, Kuo Zhao