An efficient privacy-preserving data aggregation scheme for IoT

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Abstract

Internet of Things (IoT) provides the most flexibility and convenience in our various daily applications as the IoT devices can improve efficiency, accuracy and economic benefit in addition to reduced human intervention. However, security and privacy challenges are also arising in IoT. To address this challenge, in this paper, we present a privacy-preserving data aggregation scheme for IoT to preserve privacy of customers. In our scheme, the IoT devices slice their actual data, keep one piece to themselves, and send the remaining pieces to other group devices via symmetric key. Then each IoT device adds the received slices and the held piece together to get immediate result, which should be sent to the server after the computation. Finally, analysis shows that our scheme can guarantee the integrity, confidentiality of IoT device’s data, and can resist external attack, internal attack and collusion attack and so on.

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Hu, C., Luo, J., Pu, Y., Yu, J., Zhao, R., Huang, H., & Xiang, T. (2018). An efficient privacy-preserving data aggregation scheme for IoT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10874 LNCS, pp. 164–176). Springer Verlag. https://doi.org/10.1007/978-3-319-94268-1_14

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