Defending against malicious nodes in closed MANETs through packet authentication and a hybrid trust management system

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dc.contributor.advisorKorkmaz, Turgay
dc.contributor.authorAkbani, Rehan
dc.contributor.committeeMemberTosun, Ali S.
dc.contributor.committeeMemberWhite, Greg
dc.contributor.committeeMemberWinsborough, William
dc.contributor.committeeMemberRaju, G.V.S.
dc.date.accessioned2024-01-25T19:32:11Z
dc.date.available2024-01-25T19:32:11Z
dc.date.issued2009
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractWireless links and lack of central administration make MANETs far more susceptible to attacks than conventional networks. MANETs must provide various levels of security guarantees to different applications for their successful deployment and usage. Their security requirements depend greatly on their architecture. In this dissertation we are focusing on closed MANETs where only designated nodes are supposed to access the network (e.g., in a military or corporate setting). We define "outsider" nodes as those nodes that are not authorized to access the network, and " insider" nodes as those that are allowed to access the network. The objective of this research is to develop mechanisms that protect a closed MANET against malicious behavior from outsider nodes as well as insider nodes through packet authentication and a Hybrid Trust Management System, respectively. To defend against outsider nodes, we present a new Hop-by-hop, Efficient Authentication Protocol, called HEAP, which is suitable for unicast or multicast applications. HEAP is independent of the routing protocol used and it is based on a modified HMAC algorithm that uses two keys and is very efficient. We compare the performance of HEAP against other algorithms and provide proofs of its security. To combat against insider attacks, we propose a new hybrid trust management system that is based on Reputation Systems (RS) and Role Based Trust Management (RBTM). We develop a novel Machine Learning based RS, called EMLTrust and delineate its advantages. We compare its performance against other RSs and demonstrate the improvements in performance. We also highlight the challenges associated with using RBTMs in MANETs and offer some solutions. Finally, we propose a hybrid TM system that combines EMLTrust with RBTM, and evaluate it to illustrate its efficacy in thwarting insider attacks.
dc.description.departmentComputer Science
dc.format.extent157 pages
dc.format.mimetypeapplication/pdf
dc.identifier.isbn9781109297171
dc.identifier.urihttps://hdl.handle.net/20.500.12588/2377
dc.languageen
dc.subjectHybrid trust management
dc.subjectMANET
dc.subjectPacket Authentication
dc.subjectReputation System
dc.subjectRole based trust management
dc.subjectSVM
dc.subject.classificationComputer science
dc.subject.lcshAd hoc networks (Computer networks) -- Security measures
dc.subject.lcshComputer security -- Management
dc.subject.lcshComputers -- Access control
dc.titleDefending against malicious nodes in closed MANETs through packet authentication and a hybrid trust management system
dc.typeThesis
dc.type.dcmiText
dcterms.accessRightspq_closed
thesis.degree.departmentComputer Science
thesis.degree.grantorUniversity of Texas at San Antonio
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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