Publication No 36527

Author(s)

Roussaki, I.; Strimpakou, M.; Pils, C.; Kalatzis, N.; Neubauer, M.*; Hauser, C.*; Anagnostou, M.

Title

Privacy-Aware Modelling and Distribution of Context Information in Pervasive Service Provision

Topics

Others

Keywords

PRIVACY; CONTEXT-AWARENESS; DISTRIBUTED DATABASE; IDENTITY MANAGEMENT; SECURITY; ACCESS CONTROL

Abstract

Context awareness is an essential cornerstone in future pervasive computing systems. It has the potential to greatly reduce the user attention and interaction bottlenecks, to give humans the impression that services fade into the background, and to support intelligent personalization features. Nevertheless, in order to create such an environment, a growing amount of personal information has to be provided to the system, either manually or automatically. Hence the digital trace and representation users have in the system is getting dangerously detailed, thus stressing the need for privacy protection. DAIDALOS is a European research project in the area of 3G and beyond, which aims to combine heterogeneous networks in a transparent and seamless way, and develop on top of this a pervasive environment for applications and end-users. This paper describes the main models and mechanisms that have been established to provide federated context-aware services and protect the privacy of their users.

Year

2006

Reference entry

Roussaki, I.; Strimpakou, M.; Pils, C.; Kalatzis, N.; Neubauer, M.; Hauser, C.; Anagnostou, M.
Privacy-Aware Modelling and Distribution of Context Information in Pervasive Service Provision
Proceedings of the 2006 IEEE International Conference on Pervasive Services (ICPS 2006), Lyon, June 2006, pp. 150-160

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