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      • HARVEST
      • Electronic Theses and Dissertations
      • Graduate Theses and Dissertations
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      • HARVEST
      • Electronic Theses and Dissertations
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      Implementation and Evaluation of A Low-Cost Intrusion Detection System For Community Wireless Mesh Networks

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      QUIBELL-THESIS.pdf (2.030Mb)
      Date
      2015-04-02
      Author
      Quibell, Wojciech
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      Rural Community Wireless Mesh Networks (WMN) can be great assets to rural communities, helping them connect to the rest of their region and beyond. However, they can be a liability in terms of security. Due to the ad-hoc nature of a WMN, and the wide variety of applications and systems that can be found in such a heterogeneous environment there are multiple points of intrusion for an attacker. An unsecured WMN can lead to privacy and legal problems for the users of the network. Due to the resource constrained environment, traditional Intrusion Detection Systems (IDS) have not been as successful in defending these wireless network environments, as they were in wired network deployments. This thesis proposes that an IDS made up of low cost, low power devices can be an acceptable base for a Wireless Mesh Network Intrusion Detection System. Because of the device's low power, cost and ease of use, such a device could be easily deployed and maintained in a rural setting such as a Community WMN. The proposed system was compared to a standard IDS solution that would not cover the entire network, but had much more computing power but also a higher capital cost as well as maintenance costs. By comparing the low cost low power IDS to a standard deployment of an open source IDS, based on network coverage and deployment costs, a determination can be made that a low power solution can be feasible in a rural deployment of a WMN.
      Degree
      Master of Science (M.Sc.)
      Department
      Computer Science
      Program
      Computer Science
      Supervisor
      Makaroff, Dwight
      Committee
      Eager, Derek; Dutchyn, Christopher; Wahid, Khan
      Copyright Date
      February 2015
      URI
      http://hdl.handle.net/10388/ETD-2015-02-1965
      Subject
      WMN, IDS, Intrusion Detection System.
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      • Graduate Theses and Dissertations
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