Query Profile Obfuscation for Secure Transaction

This project focus on secure query exchange between multiple system. So that, intermediate systems couldn't predict the search categories preferred by the source point. In the proposed approach, we have initiated the methodology of enabling mutual privacy gain by enhancing their privacy protection through collaboration in query exchanges. To this end, our approach starts with a mathematical formulation, involving the modeling of the users' apparent profiles as probability distributions over categories of interest, and the measure of their privacy as the corresponding Shannon entropy. The question of which query categories to exchange translates into finding optimization variables representing exchange policies, for various optimization objectives based on those entropies, possibly under exchange traffic constraints.