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  5. METHOD STUDY OF FUZZY KNOWLEDGE BASES OF INTRUSION DETECTION AND PREVENTION SYSTEMS IN MOBILE RADIO NETWORKS CLASS MANET

METHOD STUDY OF FUZZY KNOWLEDGE BASES OF INTRUSION DETECTION AND PREVENTION SYSTEMS IN MOBILE RADIO NETWORKS CLASS MANET

S.V. Salnyk, V.V. Salnyk, E.M. Bovda
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In the article method study of fuzzy knowledge bases of intelligent systems to detect and prevent intrusions in mobile radio networks class MANET. The features of construction key knowledge bases and methods getting knowledge. Development method learning of fuzzy knowledge bases was based on comprehensive application of neural networks and fuzzy logic. The essence method is a modification method of teaching Hebba, which based on unsupervised learning in knowledge bases integrated use of fuzzy logic and neural networks unit. Development method allowed conduct replenishment base of knowledge in the process functioning system of intrusion detection and prevention in mobile radio networks class MANET.
Keywords: knowledge base, methods getting knowledge, training knowledge base, mobile radio network, MANET