Statistical Framework Analysis of Source Anonymity in WSN’s

Source anonymity problem creates lot of security leakages in certain sensitive applications. This problem has emerged as important research area in wireless sensor networks. In this system we developed a new framework by statistical framework for source anonymity. The new things in proposed frameworks are first to introduce a novel idea of “interval indistinguishability” and provides a quantitative measure to model anonymity in wireless sensor networks Second, it maps source anonymity to the statistical problem and remove nuisance parameters. And analyze existing solutions for designing anonymous sensor networks using the proposed model. To improve the system message authentication techniques used by which sink node can able to identify whether the message it received is authorized message or not, also the system using two algorithms by name AR and AF. Index Terms Wireless sensor networks (WSN), source location, privacy, anonymity, hypothesis testing, nuisance parameters, coding theory.