Date of Award
Thesis - Restricted
Master of Science (MS)
Mathematics, Statistics and Computer Science
Ahamed, Sheikh I.
In recent years, there has been a tremendous growth in sharing of resources, services and content among different types of devices in a pervasive environment. This growth necessitates an efficient way of sharing the resources to ensure no devices can misuse others' resources. However, this type of activity in a pervasive environment always entails security breaches and privacy violations. In the literature, trust models have been used to solve this kind of problem. A trust value in these models is used to quantify security parameters, access level to a resource, amount of sharing etc. However, most of these trust models start with a constant value for any device regardless of the types of interactions. This assumption of constant value significantly undermines the effectiveness of a trust model. In this thesis, we found initial trust level is instead dynamic based on the context of a sharing activity. Context is defined as a set of conditions on which an activity changes. Initial level of trust also plays an important role in the transactions of E-commerce. It is found that most of the customers hesitate to make a transaction with the unknown websites due to the lack of initial trust. Therefore, we need a generic solution, which can dynamically predict the initial level of trust based on a context in various types of computing environments. In this thesis, we have addressed various problems of modeling a context and proposed approaches to solve those problems. We then proposed a model to predict the initial level of trust for a specific context. We have used several mathematical methods in our approaches and implemented prototypes to evaluate our claims.
Hossain, Md Sazzad, "Towards Finding a Context-Dependent Initial Trust Value for the Trust Models" (2009). Master's Theses (1922-2009) Access restricted to Marquette Campus. 2151.