Date of Award

Summer 2006

Degree Type

Thesis - Restricted

Degree Name

Master of Science (MS)


Mathematics, Statistics and Computer Science

First Advisor

Ahamed, Sheikh I.

Second Advisor

Harris, Douglas

Third Advisor

Slattery, Michael C.


Pervasive computing is an emerging field of research that aims to design and develop computing models for the 21st century's day to day ubiquitous applications. Particularly, tremendous developments in wireless and mobile technologies, remarkable growth of handheld devices and device users, and smart spaces have contributed to the rapid evolution of pervasive computing platforms. Resource discovery is an integral part of every system running in a pervasive computing environment. This process explores devices capable of offering a specific resource. Devices running in a pervasive computing environment have numerous limitations, which lead to their dependency on other devices for resources. This dependency in tum causes security threats. The traditional security mechanism does not work in this environment, as the devices are computationally poor and the notion of physical security is not applicable. To cope with the challenges posed by device capacity and capability, and also the nature of ad-hoc networks, a resource discovery model is needed that can resolve security and privacy issues with simple solutions. In this thesis, we present a trust based secure resource discovery model, TSRD (Trust Based Secure Resource Discovery). This model contains a trust, risk, and security model and is designed for truly pervasive environments.