Performance Evaluation of MANET’s IDSs Using Stochastic Activity Networks (SANs)

Please enable javascript in your browser.

Khosravi, Maryam | 2013

457 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44761 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Movaghar, Ali
Abstract:
Blackhole and grayhole attacks have been become two of the major security concerns in mobile ad hoc networks (MANET). To achieve security in MANETs, a lot of mechanisms had been proposed by now. Using intrusion detection systems(IDSs) is one of the important mechanism to reach this goal. Thus, a well-known IDS was chosen and analyzed in this thesis. Furthermore, a collaborative bayesian filter approach for this intrusion detection system was proposed to enhance its performance. Then the performance of this approach was considered. This intrusion detection system was analyzed using stochastic modeling like continuous time markov chain(CTMC), stochastic reward net(SRN) and stochastic activity network(SAN). Mean time to first attack detection is one of the main performance metrics that was measured in this thesis. Because of using analytical modeling, the results of this approach are more reliable than simulation
Keywords:
Mobile Ad Hoc Network ; Intrusion Detection System ; Collaborative Filtering ; Stochastic Activity Networks ; Performance Evaluation

No TOC