Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/29354
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dc.contributor.authorLapina, M. A.-
dc.contributor.authorЛапина, М. А.-
dc.date.accessioned2024-12-11T08:13:20Z-
dc.date.available2024-12-11T08:13:20Z-
dc.date.issued2024-
dc.identifier.citationBaleev, 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_3ru
dc.identifier.urihttps://dspace.ncfu.ru/handle/123456789/29354-
dc.description.abstractThe 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.ru
dc.language.isoenru
dc.publisherSpringer Science and Business Media Deutschland GmbHru
dc.relation.ispartofseriesLecture Notes in Networks and Systems-
dc.subjectAnomaliesru
dc.subjectFrequencyru
dc.subjectCommunication channel;ru
dc.subjectOperatorru
dc.subjectAttacksru
dc.titleDetection of Anomalous Activity in Wireless Communication Channelsru
dc.typeСтатьяru
vkr.instФакультет математики и компьютерных наук имени профессора Н.И. Червяковаru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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