Physical layer security: Detection of active eavesdropping attacks by support vector machines

This paper presents a framework for converting wireless signals into structured datasets, which can be fed into machine learning algorithms for the detection of active eavesdropping attacks at the physical layer. More specifically, a wireless communication system, which consists of an access point (...

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Bibliographic Details

Main Authors:	Tiep Hoang, Trung Duong, Hoang Duong Tuan, Sangarapillai Lambotharan, Lajos Hanzo
Format:	Default Article
Published:	2021
Subjects:	Information and Computing Sciences Engineering Technology single-class SVM support vector machine (SVM) machine learning active eavesdropping Physical layer security
Online Access:	https://hdl.handle.net/2134/14054249.v1
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