Temporal privacy scheme for end-to-end location privacy in wireless sensor networks

Abstract

Wireless sensor network (WSN) is built of hosts called sensors which can sense a phenomenon such as motion, temperature, and humidity. Sensors represent what they sense in data format. Providing an efficient end-to-end privacy solution would be a challenging task due to the open nature of the WSN. The key schemes needed for end-to-end location privacy are anonymity, observability, capture likelihood and safety period. On top of that, having temporal privacy is crucial to attain. We extend this work to provide a solution against global adversaries. We present a network model that is protected against passive/active and local/multi-local/global attacks. This work provides a solution for temporal privacy to attain end-to-end anonymity and location privacy.