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Document Type:Latin Dissertation
Language of Document:English
Record Number:52516
Doc. No:TL22470
Call number:‭1444753‬
Main Entry:Ismat Khaled Maarouf
Title & Author:Towards an optimized reputation system for security aware energy efficient geographic routing in wireless sensor networksIsmat Khaled Maarouf
College:King Fahd University of Petroleum and Minerals (Saudi Arabia)
Date:2007
Degree:M.S.
student score:2007
Page No:158
Abstract:Secure routing in wireless sensor networks is a crucial problem that has drawn the attention of researchers. One main type of security problems considering routing operation is misbehavior related attacks. In such attacks, the behavior of the malicious node is the distinguishing factor and not its identity. The motivation for tackling this problem comes directly from the highly constrained nature of WSN and its easy exposure to such attacks. The conventional approach in solving security problems is to adopt a crypto-based solution. Although such solutions are robust and cannot be replaced in some of their aspects, they do not provide a perfect and global coverage in the case of behavior related security. In this thesis work, another promising approach is adopted based on reputation systems. Reputation system based solution monitors routers activities and rates them accordingly which helps in making appropriate selection of routers in the future. Reputation based solutions have not been studied in depth as an appropriate solution for secure routing in wireless sensor networks due to wireless sensor networks constraints. The work in this thesis proposes a new reputation system approach that is more suited for WSN as a design target. The design focuses on security and resource usage efficiency. This research directs the attention towards system performance optimization. Under these lights, the work provides several new techniques to help in system optimization such as efficient monitoring, energy and trust aware routing and adaptation to security conditions.
Subject:Applied sciences; Electrical engineering; Computer science; 0984:Computer science; 0544:Electrical engineering
Added Entry:King Fahd University of Petroleum and Minerals (Saudi Arabia)