Botnet Attack Detection Approach in IoT Networks

Botnet Attack Detection Approach in IoT Networks

— An approach to detecting network attacks based on deep learning (autoencoders) is proposed. It is shown that learning examples can be obtained by connecting IoT devices to the network, as long as the traffic does not carry malicious code. Statistical values and functions extracted from traffic are...

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Veröffentlicht in:Automatic control and computer sciences 2022-12, Vol.56 (8), p.838-846
Hauptverfasser: Tatarnikova, T. M., Sikarev, I. A., Bogdanov, P. Yu, Timochkina, T. V.
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science
Control Structures and Microprogramming
Deep learning
Malware
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Beschreibung
Zusammenfassung:— An approach to detecting network attacks based on deep learning (autoencoders) is proposed. It is shown that learning examples can be obtained by connecting IoT devices to the network, as long as the traffic does not carry malicious code. Statistical values and functions extracted from traffic are proposed; patterns of IoT devices are based on them.
ISSN:0146-4116
1558-108X
DOI:10.3103/S0146411622080259