NETWORK RESOURCES ATTACKS POSSIBILITY ESTIMATION USING FUZZY LOGIC
Abstract
We consider probability-temporal models of attacks on computer networks resources provided by Petri-Markov nets. Identified the main parameters that determine the probability of the considered attacks. Analyzed the shortcomings of these methods of risk analysis information system. To eliminate them, proposed to use fuzzy logic and fuzzy inference. This approach allows us to build a model of the attack close to real conditions, and to identify patterns of occurrence of these attacks.