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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
     Query Profile Obfuscation by Means of Optimal Query Exchange
                             between Users
   Abstract—
          We address the problem of query profile obfuscation by means of partial
   query exchanges between two users, in order for their profiles of interest to appear
   distorted to the information provider (database, search engine, etc.). We illustrate a
   methodology to reach mutual privacy gain, that is, a situation where both users
   increase their own privacy protection through collaboration in query exchange. 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.




  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
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56

  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Query Profile Obfuscation by Means of Optimal Query Exchange between Users Abstract— We address the problem of query profile obfuscation by means of partial query exchanges between two users, in order for their profiles of interest to appear distorted to the information provider (database, search engine, etc.). We illustrate a methodology to reach mutual privacy gain, that is, a situation where both users increase their own privacy protection through collaboration in query exchange. 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. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1