A privacy preserved integrated framework for location based tracking for wireless sensor networks

Abstract

One of the most notable challenges threatening the successful deployment of sensor systems is privacy. When the adversary needs to know the location of the particular node, it can easily do that with the help of the signal that are emitted by the mobile sensor node. Many applications today use the mobile sensor nodes for transferring their data which may be sensitive. In such a scenario, an adversary can easily hack the data by finding the location of the mobile sensor node and replicating the mobile sensor node to depict itself as a destination. This is one of the major disadvantages that the existing system faces. Hence we propose a system model that blurs out its location information to the server itself before it sends its location information to other nodes. Further we examine the performance matrices of the existing system. Hence we have modified algorithm to provide efficient energy consumption. As a result of experiment, we observed that our proposed technique protects the location privacy and can sufficiently reduce computation cost so that the computation technique can be practically applied to location-based services. © 2013 Springer.