Detection of jamming and interference attacks in wireless communication network using deep learning technique

Manikanthan, S.V. and Padmapriya, T. (2021) Detection of jamming and interference attacks in wireless communication network using deep learning technique. In: Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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Abstract

The Jamming and interference attacks aim to disable a wireless network, inducing a denial of service. Despite the resilience offered 5G is prone to these regarding the impact to the use of millimetre wave bands. In the last decade, several jamming detection techniques have been developed, including

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 14:24
Last Modified: 17 Apr 2026 08:27
URI: http://eprints.eai.eu/id/eprint/34648

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