2020
DOI: 10.15407/jai2020.03.014
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Modeling of attack detection system based on hybridization of binary classifiers

Abstract: The study considers the development of methods for detecting anomalous network connections based on hybridization of computational intelligence methods. An analysis of approaches to detecting anomalies and abuses in computer networks. In the framework of this analysis, a classification of methods for detecting network attacks is proposed. The main results are reduced to the construction of multi-class models that increase the efficiency of the attack detection system, and can be used to build systems for class… Show more

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