Risk-based modelling for managing privacy protection

Privacy is one of the challenges in Cooperative Distributed Systems (CDSs) in open environments where entities can desirably work collaboratively. One way of dealing with this challenge is to evaluate the negative risk of operations on shared information in a collaborative setting. In this paper, we propose a Hierarchical Fuzzy Inference System (HFIS) to assess risk of privacy violation during the interaction among entities. In this work, we have identified and categorized major influential elements of privacy and adapted them as the base for the proposed HFIS. The accuracy of the risk assessment system in managing privacy situations is verified and validated against predefined privacy violation scenarios.