A Hybrid Intelligent Approach for Network Intrusion Detection

Author:

Panda Mrutyunjaya,Abraham Ajith,Patra Manas Ranjan

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference26 articles.

1. Data Mining techniques for intrusion detection In: Proc. of the 7th USENIX security symposium;Lee,1998

2. Dokas P, Ertoz L, Kumar V, Lazarevie A, Srivastava J, and Tan P., “Data Mining for intrusion detection”, In: Proc. of NSF workshop on next generation data mining, 2002.

3. Building an Intrusion detection system based on SVM and genetic algorithm”;Chen;In: Advances in NN-ISNN 2005, pt 3, proceedings,2005

4. Feature selection for intrusion detection with neural network and Support vector machines”;Mukkamala;Transportation security infrastructure prot.,2003

5. Bayesian, “Belief network with genetic local search for detecting network intrusions”;Panda;International journal of secure digital information age,2009

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