Anti-Pollution Source Location Privacy Preserving Scheme in Wireless Sensor Networks

摘要

The source-location privacy threat is one of the critical issues in Wireless Sensor Networks (WSNs). Adversaries may trace along the sensor traffic to hunt targets around source nodes. Previous works proposed dummy messages and network coding to eliminate time and content correlations. However, these proposed schemes may result in explosion of polluted and dummy messages, opening up vulnerability to active attackers. In this work, we propose pollution avoiding source location privacy preserving scheme PA-SLP. A probabilistic key predistribution is proposed to predistributed keys in nodes. It enables intermediate nodes to verify signatures and filter out dummy or polluted messages with a certain possibility. In PA-SLP, a triple type homomorphic signature algorithm is developed to detect and classify three message types with only one pair of asymmetric keys. PA-SLP is able to adjust key distribution parameters to balance network performance and privacy. Security analysis and simulation results demonstrate PA-SLP can resist traffic analysis and filter out polluted and dummy messages effectively.