Performance Comparison of Intrusion Detection System Using Various Techniques - A Review

Provided by: ICT Academy of Tamil Nadu
Topic: Security
Format: PDF
Now-a-days, the security has become a critical part of any organization or industry information systems. The Intrusion Detection System (IDS) is an effective method to deal with the new kind of threats such as DoS, Porbe, R2L and U2R. In this paper, the authors analyze the various approaches such as hidden semi markov model, conditional random fields and layered approach, bayesian classification, data mining techniques, clustering algorithms such as K-means and fuzzy c-means, back propagation neural network, SOM neural network, rough set neural network algorithm, genetic algorithm, pattern matching, principle component analysis, linear discriminant analysis, independent component analysis, multivariate statistical analysis, SOM/PSO algorithm etc.

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