Biblio

For wireless sensor networks deployed to monitor and report real events, event source-location privacy (SLP) is a critical security property. Previous work has proposed schemes based on fake packet injection such as FitProbRate and TFS, to realize event source anonymity for sensor networks under a challenging attack model where a global attacker is able to monitor the traffic in the entire network. Although these schemes can well protect the SLP, there exists imbalance in traffic or delay. In this paper, we propose an Optimal-cluster-based Source Anonymity Protocol (OSAP), which can achieve a tradeoff between network traffic and real event report latency through adjusting the transmission rate and the radius of unequal clusters, to reduce the network traffic. The simulation results demonstrate that OSAP can significantly reduce the network traffic and the delay meets the system requirement.

Sensor networks mainly deployed to monitor and report real events, and thus it is very difficult and expensive to achieve event source anonymity for it, as sensor networks are very limited in resources. Data obscurity i.e. the source anonymity problem implies that an unauthorized observer must be unable to detect the origin of events by analyzing the network traffic; this problem has emerged as an important topic in the security of wireless sensor networks. This work inspects the different approaches carried for attaining the source anonymity in wireless sensor network, with variety of techniques based on different adversarial assumptions. The approach meeting the best result in source anonymity is proposed for further improvement in the source location privacy. The paper suggests the implementation of most prominent and effective LSB Steganography technique for the improvement.