Combining Operational and Spectrum Characteristics to Form a Risk Model for Positive Train Control Communications

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dc.contributor.advisorWijesekera, Duminda
dc.contributor.authorAbadie, Andre
dc.creatorAbadie, Andre
dc.date.accessioned2014-09-18T01:56:56Z
dc.date.available2014-09-18T01:56:56Z
dc.date.issued2014-05
dc.description.abstractThough there is a tremendous research effort towards maturing software defined radio (SDR) to cognitive radio technologies, it is narrowly focused on spectrum access or performance tuning. An alternative approach is to create a cognition cycle that facilitates risk management and improves the radio's security posture. In the instances where SDR technologies represent a critical infrastructure, this advancement would be novel and paramount. SDR technologies represent the future of radio infrastructures due to their ability to establish flexibility - the potential for users to adjust performance capability in their ever-changing operational settings. Yet with this transition to software, radios will face similar threats as current computer systems. Therefore it is necessary to begin formulating risk models that can assess this new risk environment. Though the threats are not known at this time, the risks they may present can be estimated and addressed.
dc.format.extent116 pages
dc.identifier.urihttps://hdl.handle.net/1920/8913
dc.language.isoen
dc.rightsCopyright 2014 Andre Abadie
dc.subjectInformation technology
dc.subjectCognitive radio
dc.subjectInformation security
dc.subjectPositive Train Control
dc.subjectRisk assessment
dc.subjectSoftware defined radio
dc.titleCombining Operational and Spectrum Characteristics to Form a Risk Model for Positive Train Control Communications
dc.typeDissertation
thesis.degree.disciplineInformation Technology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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