PROJECT TITLE :
Query Profile Obfuscation by Means of Optimal Query Exchange between Users
We address the matter of query profile obfuscation by suggests that of partial query exchanges between 2 users, in order for his or her profiles of interest to appear distorted to the information provider (database, search engine, etc.). We have a tendency to illustrate a methodology to reach mutual privacy gain, that's, a state of affairs where both users increase their own privacy protection through collaboration in question exchange. To the current finish, our approach starts with a mathematical formulation, involving the modeling of the users' apparent profiles as chance distributions over classes of interest, and the live of their privacy as the corresponding Shannon entropy. The question of which question classes to exchange translates into finding optimization variables representing exchange policies, for numerous optimization objectives based on those entropies, probably under exchange traffic constraints.
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