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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in




     Protecting Location Privacy in Sensor Networks against a Global
                                      Eavesdropper
   Abstract—

         While many protocols for sensor network security provide confidentiality for
   the content of messages, contextual information usually remains exposed. Such
   contextual information can be exploited by an adversary to derive sensitive
   information such as the locations of monitored objects and data sinks in the field.
   Attacks on these components can significantly undermine any network application.
   Existing techniques defend the leakage of location information from a limited
   adversary who can only observe network traffic in a small region. However, a
   stronger adversary, the global eavesdropper, is realistic and can defeat these
   existing techniques. This paper first formalizes the location privacy issues in
   sensor networks under this strong adversary model and computes a lower bound on
   the communication overhead needed for achieving a given level of location
   privacy. The paper then proposes two techniques to provide location privacy to
   monitored objects (source-location privacy)-periodic collection and source
   simulation-and two techniques to provide location privacy to data sinks (sink-
   location privacy)-sink simulation and backbone flooding. These techniques provide
   trade-offs between privacy, communication cost, and latency. Through analysis
   and simulation, we demonstrate that the proposed techniques are efficient and
   effective for source and sink-location privacy in sensor networks.




  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

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18

  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Protecting Location Privacy in Sensor Networks against a Global Eavesdropper Abstract— While many protocols for sensor network security provide confidentiality for the content of messages, contextual information usually remains exposed. Such contextual information can be exploited by an adversary to derive sensitive information such as the locations of monitored objects and data sinks in the field. Attacks on these components can significantly undermine any network application. Existing techniques defend the leakage of location information from a limited adversary who can only observe network traffic in a small region. However, a stronger adversary, the global eavesdropper, is realistic and can defeat these existing techniques. This paper first formalizes the location privacy issues in sensor networks under this strong adversary model and computes a lower bound on the communication overhead needed for achieving a given level of location privacy. The paper then proposes two techniques to provide location privacy to monitored objects (source-location privacy)-periodic collection and source simulation-and two techniques to provide location privacy to data sinks (sink- location privacy)-sink simulation and backbone flooding. These techniques provide trade-offs between privacy, communication cost, and latency. Through analysis and simulation, we demonstrate that the proposed techniques are efficient and effective for source and sink-location privacy in sensor networks. 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