Data aggregation is an important method to reduce the energy consumption in wireless sensor networks (WSNs); however,\r\nit suffers from the security problems of data privacy and integrity. Existing solutions either have large communication and\r\ncomputation overheads or only produce inaccurate results. This paper proposes a novel secure data aggregation scheme based\r\non homomorphic primitives inWSNs (abbreviated as SDA-HP). The scheme adopts a symmetric-key homomorphic encryption to\r\nprotect data privacy and combines it with homomorphic MAC synchronically to check the aggregation data integrity. It compares\r\nthe scheme with the previously known methods such as SIES, iPDA, and iCPDA in terms of the data privacy protection efficiency,\r\nintegrity performance, computation overhead, communication overhead, and data aggregation accuracy. Simulation results and\r\nperformance analysis show that our SDA-HP requires less communication and computation overheads than previously known\r\nmethods and can effectively preserve data privacy, check data integrity, and achieve high data transmission efficiency and accurate\r\ndata aggregation rate while consuming less energy to prolong network lifetime. To the best of our knowledge, this is the first work\r\nthat provides both integrity and privacy based on homomorphic primitives.
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