Privacy, Security and Trust within the Context of Pervasive Computing [electronic resource] / edited by Philip Robinson, Harald Vogt, Waleed Wagealla.

The Influence of Context on Privacy, Trust and Security -- Some Research Challenges in Pervasive Computing -- Overview -- Survey on Location Privacy in Pervasive Computing -- Exploring the Relationship Between Context and Privacy -- Privacy, Security and Trust Issues Raised by the Personal Server Concept -- Secure Trust Models and Management in Pervasive Computing -- Overview -- The Role of Identity in Pervasive Computational Trust -- Towards a Next-Generation Trust Management Infrastructure for Open Computing Systems -- Research Directions for Trust and Security in Human-Centric Computing -- Evidence, Authentication, and Identity -- Overview -- User-Centric Identity Management in Open Mobile Environments -- Pre-Authentication Using Infrared -- Architecture and Protocol for Authorized Transient Control -- Social and Technical Approaches to Privacy Protection -- Overview -- Maintaining Privacy in RFID Enabled Environments -- Safeguarding Personal Data Using Trusted Computing in Pervasive Computing -- A Social Approach to Privacy in Location-Enhanced Computing.

Privacy, Security and Trust within the Context of Pervasive Computing is an edited volume based on a post workshop at the second international conference on Pervasive Computing. The workshop was held April18-23, 2004, in Vienna, Austria. The goal of the workshop was not to focus on specific, even novel mechanisms, but rather on the interfaces between mechanisms in different technical and social problem spaces. An investigation of the interfaces between the notions of context, privacy, security and trust will result in a deeper understanding to the "atomic" problems, leading to more complete understanding of the social and technical issues in pervasive computing. Privacy, Security and Trust within the Context of Pervasive Computing is designed for a professional audience composed of practitioners and researchers in industry. This volume is suitable for graduate-level students in computer science as well.