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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Acknowledgments
Thank all the reviewers for their helpful comments. This project was partial supported by the National Key R&D Program of China (No. 2017YFB0802000), the National Natural Science Foundation of China (Grant No. 61702062, 61672118, 61672321, 61373027), Science and Technology Project of Guangdong Power Grid Co. Ltd. (GDKJXM20180250), and Chongqing Research Program of Basic Research and Frontier Technology (No. cstc2014jcyjA40030).
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Hu, C. et al. (2018). An Efficient Privacy-Preserving Data Aggregation Scheme for IoT. In: Chellappan, S., Cheng, W., Li, W. (eds) Wireless Algorithms, Systems, and Applications. WASA 2018. Lecture Notes in Computer Science(), vol 10874. Springer, Cham. https://doi.org/10.1007/978-3-319-94268-1_14
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DOI: https://doi.org/10.1007/978-3-319-94268-1_14
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