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Industrial Automatic Control Systems and Controllers

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Methods for Identifying Attacks on a Wi-Fi Network Based on Data Mining
M.A. Chistyakova, M.V. Ilyin

The article deals with the tasks of automating the process of identifying attacks on the Wi-Fi network. To solve the problem, an expert intrusion detection system is proposed. Attacks are identified on the basis of data mining methods: neural networks, supporting vector method, decision trees. The paper proposes models for setting up an intrusion detection system, classifying attacks, identifying attacks, and the structure of an intrusion detection system. It also describes the process of detecting attacks using the proposed system.
Keywords: network security; attack on a Wi-Fi network; attack identification; intrusion detection system; neural networks; support vectors; decision trees.


DOI: 10.25791/asu.07.2019.749

Contacts: E-mail: vital-chi@yandex.ru

Pp. 41-51.

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