Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/29354
Title: Detection of Anomalous Activity in Wireless Communication Channels
Authors: Lapina, M. A.
Лапина, М. А.
Keywords: Anomalies;Frequency;Communication channel;;Operator;Attacks
Issue Date: 2024
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Baleev, M., Shevchenko, A., Basan, E., Lapina, M., Elashmawi, W.H. Detection of Anomalous Activity in Wireless Communication Channels // Lecture Notes in Networks and Systems. - 2024. - 1207 LNNS. - pp. 16-23. - DOI: 10.1007/978-3-031-77229-0_3
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: The goal of the study is to create a system that detects anomalies in the behavior of Wi-Fi routers by collecting data on the radio frequency space, as well as analyzing them, which will make it possible to detect possible attacks aimed at disrupting the operation of the device, as well as to separate the operation of Wi-Fi routers from third-party activities, for example, radio-controlled devices. Tasks to be solved within the framework of research work: Experimentally obtain behavioral patterns of operation of various devices, to develop an algorithm for detecting third-party activity in the radio frequency space.
URI: https://dspace.ncfu.ru/handle/123456789/29354
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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