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dc.contributor.advisorGu, Qijun
dc.contributor.authorThapa, Sobit Bahadur
dc.date.accessioned2013-04-23T18:55:24Z
dc.date.available2013-04-23T18:55:24Z
dc.date.created2013-05
dc.date.issued2013-04-22
dc.date.submittedMay 2013
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/4527
dc.description.abstractThe performance of weak embedded devices like cellular phones and sensors in Wireless Sensor Network (WSN) can be improved significantly by partitioning execution between the nodes in the network. Idle nodes can help busy nodes by executing their code which can lead overall system to achieve high performance gain with increased lifetime. At the same time, security policy of the system can be compromised by exposing private data of a particular node to an external node. Also, attackers can obtain execution flow and critical data by listening to the network because these devices communicate all the time to help each other. This research studies an optimized framework for distributing and completing tasks securely in a network of weak embedded devices. Analysis of security and performance will be performed on this framework to verify its security, effectiveness and efficiency.
dc.formatText
dc.format.extent95 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.subjectSecurity
dc.subjectAlgorithm
dc.subjectData Flow Graph
dc.subjectTinyOS
dc.subjectStatic Analysis
dc.subjectDynamic Analysis
dc.subject.lcshComputer networks--Security measures
dc.subject.lcshWireless communication systems
dc.subject.lcshAlgorithms
dc.subject.lcshInformation technology
dc.subject.lcshComputer software
dc.subject.lcshSoftware engineering
dc.titleSecure Execution Partitioning of Weak Devices
txstate.documenttypeThesis
dc.contributor.committeeMemberShi, Hongchi
dc.contributor.committeeMemberGuirguis, Mina S.
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
txstate.departmentComputer Science


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