Physical Layer Detection of Malicious Relays in LTE-A Network Using Unsupervised Learning
Abstract
For Long Term Evolution Advanced (LTE-A) network, although there exist many studies that focus on improving the performance with relays, security issues are often neglected. Due to the broadcast nature of wireless channels, relay nodes in LTE-A network may act maliciously, affect communication, reduce quality, and cause delays. Recently, physical (PHY) layer security has attracted researchers to provide secure communication and data privacy. In...
Paper Details
Title
Physical Layer Detection of Malicious Relays in LTE-A Network Using Unsupervised Learning
Published Date
Jan 1, 2020
Journal
Volume
8
Pages
154713 - 154726
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