An Approach for Efficient Way to Evaluate Statistical Source Anonymity in Wireless Sensor Network?

In some critical applications, the locations of events reported by a sensor network need to remain anonymous. Means that, when unauthorized observer monitor or analyse the network traffic, observer must be unable to seem the origin of such events which will be transmitted. And this is said to the source anonymity problem; this problem has emerged as an important topic in the security of wireless sensor networks, with variety of techniques based on different adversarial assumptions being proposed. In this, present a new structure for modeling means that to model for the network, analysing means to analyze the network, and evaluating anonymity in sensor networks. The novelty of the proposed framework is two steps: first, it will introduces the idea of “interval indistinguishability” and provides a quantitative measure to model anonymity in wireless sensor networks; and second, it will maps source anonymity to the statistical problem of binary hypothesis testing with some parameters. This works target to the Statistical Source Anonymity (SSA) in sensor networks is the study of techniques that prevent global adversaries from exposing source location by performing statistical analysis on nodes transmissions. Practical SSA solutions need to be designed to achieve their objective under two main objectives: minimizing delay and maximizing the lifetime of sensors batteries and also the security approach.