Adaptive User Anonymity for Mobile Opportunistic Networks
Current mobile opportunistic networks often use social routing protocols to transfer messages among users and to the services. In the face of changing underlying topology, mobility patterns and density of users and their queries, fixed algorithms for user anonymisation cannot provide sufficient level of user anonymity, and adaptive mechanisms for achieving user anonymity are needed. This paper describes a novel flexible and adaptive approach, AdaptAnon that is suitable for dynamic and heterogeneous mobile opportunistic networks. The authors' approach is multidimensional and combines multiple heuristics based on user profiles, analysis of user connectivity and history of anonymisation in order to predict and decide on the best set of nodes that can help anonymise the sending node.