Design of Privacy and Energy-Efficient DATA Aggregators for Wireless Sensor Networks

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Abstract
The privacy preserving data aggregation protocols in wireless sensor networks offer a wide range of applications in security-critical sectors, since it hides the data of individual nodes from adversaries. Because the energy-intensive decryption at the aggregator node reveals a large amount of privacy-protected information to adversaries, allowing the adversary to generate inaccurate results, existing hop-by-hop and shuffling-based privacy-preserving protocols do not provide an energy-efficient, accurate, and secure data aggregation result in base station. The proposed privacy-preserving protocol, EPSDA, overcomes the limitations of the current technique by conducting aggregation on encrypted data using the privacy homomorphic characteristic of the encryption algorithm. However, there is a chance that the old data will be transferred back to the network. By keeping data fresh throughout aggregation, the EPSDA protocol prevents replay attacks. By combining encrypted data and minimising the number of transfers, the accuracy of the aggregated output is improved. It also provides data authenticity and the integrity of the aggregated result at the base station during non-delayed aggregation. Our main objective is to develop a data aggregation technology that is both energy efficient and secure.

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