Model of detecting cybernetic attacks on information-telecommunication systems based on description of anomalies in their work by weighed fuzzy rules

Ihor Subach, Vitalii Fesokha


The article is devoted to the actual task of protecting information-telecommunication systems and networks from cyber attacks in the conditions of their constant development and polymorphizm of malicious software. The analysis is carried out and a conclusion is made about the expediency of using models of anomaly identification that simultaneously operate with qualitative and quantitative data and are based on the mathematical theory of fuzzy sets and fuzzy logical inference. Specifically, an improved model for the detection of anomalies in the work of information and telecommunication systems and networks is presented, which is a further development of the previously proposed anomaly detection model based on fuzzy sets and fuzzy logic inference. The essence of the improvement is the introduction of weight coefficients for fuzzy rules that describe the anomalies that may arise during the operation of information and telecommunication systems and networks as a result of unauthorized cybernetic interference in their work and, after introduction of which, the problem of fuzzy anomaly identification in the work of the information and telecommunication system reduces to finding a solution of an analytic expression connecting a set of parameters of the state of the system on the basis of Its anomalous behavior is determined by the expert decision corresponding to them, taking into account the introduced weight coefficients for the rules. This improvement ensures that the importance of rules is displayed in a fuzzy inference system, which is based on the expert's confidence in each decision taken to identify anomalies. The expediency of using the proposed model is confirmed by the results of her studies on the adequacy of her process of identifying anomalies in the work of information and telecommunication systems and networks, as well as the accuracy of the results that she demonstrates.


Anomaly detection; information and telecommunication systems and networks; weighting factors; weighted fuzzy linguistic rules; knowledge base; fuzzy logic conclusion; intrusion detection system.


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