Dynamic Redundancy Management of Multisource Multipath Routing Integrated with Voting-based Intrusion Detection in Wireless Sensor Networks

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dc.contributor.authorAl-Hamadi, Hamid Helalen
dc.contributor.committeechairChen, Ing-Rayen
dc.contributor.committeememberKafura, Dennis G.en
dc.contributor.committeememberKulczycki, Gregory W.en
dc.contributor.committeememberLu, Chang-Tienen
dc.contributor.committeememberRahmandad, Hazhiren
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-04-25T08:01:46Zen
dc.date.available2014-04-25T08:01:46Zen
dc.date.issued2014-04-24en
dc.description.abstractWireless sensor networks (WSNs) are frequently deployed unattended and can be easily captured or compromised. Once compromised, intrusion prevention methods such as encryption can no longer provide any protection, as a compromised node is considered a legitimate node and possesses the secret key for decryption. Compromised nodes are essentially inside attackers and can perform various attacks to break the functionality of the system. Thus, for safety-critical WSNs, intrusion detection techniques must be used to detect and remove inside attackers and fault tolerance techniques must be used to tolerate inside attackers to prevent security failure. In this dissertation research, we develop a class of dynamic redundancy management algorithms for redundancy management of multisource multipath routing for fault and intrusion tolerance, and majority voting for intrusion detection, with the goal of maximizing the WSN lifetime while satisfying application quality-of-service and security requirements, for base station based WSNs, homogeneous clustered WSNs, and heterogeneous clustered WSNs. By means of a novel model-based analysis methodology based on probability theory, we model the tradeoff between energy consumption vs. reliability, timeliness and security gain, and identify the optimal multisource multipath redundancy level and intrusion detection settings for maximizing the lifetime of the WSN while satisfying application quality-of-service requirements. A main contribution of our research dissertation is that our dynamic redundancy management protocol design addresses the issues of "how many paths to use" and "what paths to use" in multisource multipath routing for intrusion tolerance. Another contribution is that we take an integrated approach combining intrusion detection and tolerance in the protocol design to address the issue of "how much intrusion detection is enough" to prevent security failure and prolong the WSN lifetime time. We demonstrate resiliency of our dynamic redundancy management protocol design for intrusion detection and tolerance against sophisticated attacker behaviors, including selective and random capture, as well as persistent, random, opportunistic and insidious attacks, by model-based performance analysis with results supported by extensive simulation based on ns3.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:2513en
dc.identifier.urihttp://hdl.handle.net/10919/47681en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectWireless sensor networksen
dc.subjectmultisource multipath routingen
dc.subjectdynamic redundancy managementen
dc.subjectenergy conservationen
dc.subjectreliabilityen
dc.subjectsecurityen
dc.subjectintrusion detectionen
dc.subjectintrusion toleranceen
dc.subjectperformance analysis.en
dc.titleDynamic Redundancy Management of Multisource Multipath Routing Integrated with Voting-based Intrusion Detection in Wireless Sensor Networksen
dc.typeDissertationen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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