Collaborative Pervasive Computing Applications (COPCAs) can greatly improve the investigative capabilities and productivity of scientists and engineers. Users of COPCAs usually form groups to collaboratively perform their tasks using various computing devices, including desktop computers, pocket PCs, and/or smart phones, over Mobile Ad hoc Networks (MANET), LAN, and the Internet. These users usually share various types of data, including research ideas (documents), experimental and statistical data (numerical data, graphics, stream audio/video). A very important issue for sharing data in Collaborative Pervasive Computing Environments (COPCEs) is trustworthiness. To support trustworthy data sharing among groups of users of COPCAs, secure group communication, trustworthyshared data discovery, flexible access control mechanisms, effective data replication, data quality assurance mechanisms, and intrusion detection mechanisms are needed. In this chapter, the challenges, current state-of-the-art, and future research directions for trustworthy data sharing in COPCEs are presented. In particular, discussions will be focused on research issues and future research directions for trustworthy shared data discovery and flexible access control in service-based COPCAs.
Privacy, Trust and Identity in Pervasive Computing: A Review of Technical Challenges and Future Research Directions
