Date of Award

Fall 2008

Degree Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Mathematics, Statistics and Computer Science

First Advisor

Ahamed, Sheikh I.

Second Advisor

Madiraju, Praveen

Third Advisor

Khan, Ahmed J.

Abstract

Recent developments in the fields of hand-held devices, wireless communications, and sensor networks made pervasive computing more viable to our daily lives. These low cost devices still lack in computation power and resource management. To perform optimally, these devices depend on each other through resource sharing. This mutual inter device dependency creates some obvious issues related to security and privacy. Trust models are being proposed to solve how devices should interact with each other. Nonetheless, when there is such interaction involved, certain amounts of risks are always present. Hence, risk analysis before any interaction among entities arises as an integral part to trust decisions. In this thesis, we propose a risk model that takes into account different risk elements, exclusively encountered in pervasive computing environment to address the issue of risk awareness for trust models.

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