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dc.contributor.advisorBhattacharyya, Siddhartha
dc.contributor.authorPatel, Milankumar
dc.date.accessioned2019-06-05T15:30:54Z
dc.date.available2019-06-05T15:30:54Z
dc.date.created2019-05
dc.date.issued2019-05
dc.date.submittedMay 2019
dc.identifier.urihttp://hdl.handle.net/11141/2812
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2019en_US
dc.description.abstractThe Internet of Things (IoT) has provided a flexible platform for a large number of heterogeneous devices to dynamically join and leave the network. This enhances the availability of a diverse range of services provided by a network. However, this dynamic expansion of the network with mobile IoT devices introduces a major challenge to security especially related to management of trust across the IoT platforms. Furthermore, IoT is open and distributed in nature, which allows the integration and registration of diverse entities. Thus arises the necessity for a mechanism that can ensure the selection of secure and trusted devices as these devices try to join the network. In this work, an effective trust modeling mechanism has been investigated to support the development of trust based on a three-tier trust architecture. Initial trust establishment is done based on the notion of social trust semantics and personal attributes. This is represented as the first-tier of the trust architecture. In the second tier, the recommendation from another known device is taken into account to support the trust-relationship establishment process. The third tier shared (common) personal attributes could be useful to evaluate shared list of attributes among the participating devices. The first two tiers of the proposed three layered trust architecture has been implemented in a knowledge representation environment using ontology. Satisfaction of the trust properties in the proposed ontology is validated by SWRL rules. To enhance the functionality of trust methodology the ontology was mapped into the implementation environment for automated reasoning. To model and analyze the dynamic interaction between the IoT devices it considers various social trust properties such as honesty, dishonesty, legitimate request and trustworthiness to categorize device behavior. Finally, the performance of the trust assessment algorithm implemented in the proposed reasoner was validated by implementing several scenarios.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleFormal Trust Architecture For Assuring Trusted Interactions In the Internet of Thingsen_US
dc.typeThesisen_US
dc.date.updated2019-06-04T15:28:47Z
thesis.degree.nameMaster of Science in Computer Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentComputer Engineering and Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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