DYNAMIC BAYESIAN NETWORK APPLICATION IN THE INTRUSION DETECTION SYSTEMS

Issues of knownintrusion detection systems operation are stated. Architecture description of the developed intrusion detection system is given. The descriptions of used dynamic Bayesian network, learning algorithms and test domain network are cited. Errors of the first and second kind are defined du...

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Bibliographic Details
Published in:Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki mekhaniki i optiki, 2012-05, Vol.12 (3)
Main Authors: Arustamov, S A, Dayneko, V Y
Format: Article
Language:Russian
Subjects:
Algorithms
Bayesian analysis
Intrusion detection systems
Machine learning
Online Access:Get full text
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Summary:Issues of knownintrusion detection systems operation are stated. Architecture description of the developed intrusion detection system is given. The descriptions of used dynamic Bayesian network, learning algorithms and test domain network are cited. Errors of the first and second kind are defined during the operation of intrusion detection system. Comparative test results are given after the application of developed system and Snort system
ISSN:2226-1494
2500-0373