A Framework for Enhancing Source Location Privacy in Wireless Sensor Networks

As sensor network applications become integrated into our lives, as we know that when the sensor networks are deploys untrustworthy environments, where the problem is privacy for source location and events reported by sensor nodes. This problem is called source anonymity problem in wireless sensor networks. Based on different adversarial assumptions different techniques were 9proposed for it. In this paper we consider source anonymity against global attacker. Unfortunately it is very difficult and expensive to achieve. Because of through traffic analysis attackers may attack on privacy of source sensor and also sensor networks are limited in resources. In this work we propose a formal frame work for modeling the anonymity in sensor networks. The proposed model contains twofold: First, it introduces interval indistinguishability, that provides a quantitative measure to source anonymity. The significance of interval indistinguishability is that it prevents a source information leakage that cant be captured using existing models and it determines the quantity of anonymity of current designs. Second, distributed fake traffic allocation algorithm which embedding the real message into the chosen fake message to hide the real message. We assumed fixed amount of resources to fake messages and we try to share it among the sensors to maximize the degree of anonymity of the system.