PEPPDA: Power efficient privacy preserving data aggregation for wireless sensor networks

Abstract

Energy efficient privacy preserving data aggregation is important in power constrained wireless sensor networks. Existing hop by hop encrypted privacy preserving data aggregation protocols does not provide efficient solutions for energy constrained and security required WSNs due to the overhead of performing power consuming decryption and encryption at the aggregator node for the data aggregation and the increased number of transmissions for achieving data privacy. The decryption of data at the aggregator node will increase the frequency of node compromise attack. Thereby aggregator node reveals large amounts of data to adversaries. The proposed privacy homomorphism based privacy preservation protocol achieves non delayed data aggregation by performing aggregation on encrypted data. Thereby decreases the node compromise attack frequency. So high chance to get accurate aggregated results at the sink with reduced communication and computation overhead. The PEPPDA technique is best suited for time critical, secure applications such as military application, since it achieves privacy, authenticity, accuracy, end to end confidentiality, data freshness and energy efficiency during data aggregation. Our main aim is to provide a secure data aggregation scheme which guarantees the privacy, authenticity and freshness of individual sensed data as well as the accuracy and confidentiality of the aggregated data without introducing a significant overhead on the battery limited sensors.