Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection
Volume: 13, Issue: 3, Pages: 621 - 636
Published: Mar 1, 2018
Abstract
The recent advances in mobile technologies have resulted in Internet of Things (IoT)-enabled devices becoming more pervasive and integrated into our daily lives. The security challenges that need to be overcome mainly stem from the open nature of a wireless medium, such as a Wi-Fi network. An impersonation attack is an attack in which an adversary is disguised as a legitimate party in a system or communications protocol. The connected devices...
Paper Details
Title
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection
Published Date
Mar 1, 2018
Volume
13
Issue
3
Pages
621 - 636
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