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Intelligent Sensing and Classification in DSR-Based Ad Hoc Networks

Dempsey, Tae
http://rave.ohiolink.edu/etdc/view?acc_num=miami1240591561

Abstract Details

2009, Master of Computer Science, Miami University, Computer Science and Systems Analysis.
Wireless ad hoc networks have fundamentally altered today's battlefield, with applications ranging from unmanned air vehicles to randomly deployed sensor networks. Security and vulnerabilities in wireless ad hoc networks have been considered at different layers, and many attack strategies have been proposed, including denial of service (DoS) through the intelligent jamming of the most critical packet types of flows in a network. This thesis investigates the effectiveness of intelligent jamming in wireless ad hoc networks using the Dynamic Source Routing (DSR) and TCP protocols and introduces an intelligent classifier to facilitate such jamming. Assuming complete packet encryption, we develop probabilistic classification algorithms that improve upon previous schemes. These algorithms can then facilitate intelligent packet jamming and are based solely on the observable characteristics of size, inter-arrival timing, and direction. We model size and time as probability distributions and use direction as a supporting metric to produce a 99.4% accurate classifier.
Gokhan Sahin, PhD (Advisor)
Yu Tong (Jade) Morton, PhD (Committee Member)
Lukasz Opyrchal, PhD (Committee Member)
Computer Science; Engineering
ad hoc; dsr; classification; algorithms; jamming

Recommended Citations

Citations

  • Dempsey, T. (2009). Intelligent Sensing and Classification in DSR-Based Ad Hoc Networks [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1240591561

    APA Style (7th edition)

  • Dempsey, Tae. Intelligent Sensing and Classification in DSR-Based Ad Hoc Networks. 2009. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1240591561.

    MLA Style (8th edition)

  • Dempsey, Tae. "Intelligent Sensing and Classification in DSR-Based Ad Hoc Networks." Master's thesis, Miami University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=miami1240591561

    Chicago Manual of Style (17th edition)

miami1240591561
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© 2009, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.