Research On Privacy-preserving Data Aggregation Method In Wireless Sensor Networks

A wireless sensor network(Wireless Sensor Networks, WSN) is an ad-hoc network composed of many sensor nodes which generally only have limited storage, power, computation and communication capabilities. Through mutual cooperation, sensor nodes periodically acquire sensed data, process data and transmit data, and finally send the data aggregation result to the sink node which last transmits them to server for analysis and processing. In order to reduce the data transmission, data aggregation technique has been widely used in practical applications to reduce redundance for reducing communication cost and improving data collection efficiency. However, there are serious risks of leakage or being tampered for privacy data in practical application process, because attacker can access to sensitive information through hacking, joining forged or unauthorized nodes.When data is aggregated, if you do not take any measures, the aggregation node will know sensed data of common node, which will destroy the node’s privacy. In order to protect the privacy of the data aggregation process, we propose a secure privacy protection WSN data aggregation method, which uses addition homomorphic encryption technology, can direct the ciphertext data aggregaton, without decryption, thereby node data privacy protection and low computational overhead and communication costs, lower energy consumption, The use of complex special data structure to protect data integrity, ensure data privacy and data reliability. Simulation results and theoretical analysis show that the proposed scheme, meeting the premise of privacy, has less computation cost, less transmission data and better accuracy than IPHCDA and iPDA, and the integrity is verifiable.