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Dissertation/Thesis Abstract

Using cognitive radio as an intrusion detection for ZigBee networks
by Sarakbi, Lelass, M.S., California State University, Long Beach, 2012, 84; 1507781
Abstract (Summary)

ZigBee sensor network security has the ability to manipulate the physical state of the device through wireless connection and results in serious damage. It has been proven that ZigBee stack suffers from several pitfalls that threaten the integrity, authentication and confidentiality of the network. Different attempts have been proposed as an attempt to modify the stack. However, our approach is summarized by addressing the security issues at the PHY and MAC layer without changing the stack or placing any extra load on the network. For this purpose, we have used cognitive radio in order to monitor the activity on the network and proved that it could be used as an intrusion detection in order to detect if there is any malicious activity and perhaps prevent it.

Indexing (document details)
Advisor: Mangir, Tulin
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 50/04M, Masters Abstracts International
Subjects: Computer Engineering, Electrical engineering
Publication Number: 1507781
ISBN: 978-1-267-20447-9
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