A privacy-aware system using threat-based evaluation and feedback method in untrusted ubiquitous environments

As the most often-cited criticism, privacy has been concerned by more and more users who need services supply. In most cases, users can not expect the hazards caused by disclosed data for the lack of specialist knowledge, unless they know the potential threat previously. Besides, users also hope their data can be disclosed in a minimal way thus the potential threats to their data can be decreased as minimum as possible. To address this problem, in this paper, a threat-based model is presented for privacy data management. A key feature of our proposed model is it allows users to customize the services on the basis of their consents to the potential threats. Furthermore, user can select a best service from a trustable company with reference to other users' feedback. To evaluate the proposed system, three simulations for selecting optimal services are performed in this research.