Abstract
With the rapid development of the Internet of Things (IoT), a large number of IoT device data has flooded into cloud computing service centers, which has greatly increased the data processing task of cloud computing. To alleviate this situation, IoT enabled fog computing comes into being and it is necessary to aggregate the collected data of multiple IoT devices at the fog node. In this paper, we consider a privacy-aware data collection and aggregation scheme for fog computing. Although the fog node and the cloud control center are honest-but-curious, the proposed scheme also ensures that the data privacy will not be leaked. Our security and performance analysis indicates that the proposed scheme is secure and efficient in terms of computation and communication cost.
Supported by National Key R&D Program of China (No. 2017YFB0802000), National Natural Science Foundation of China (No. 61772418, 61472472, 61402366), Natural Science Basic Research Plan in Shaanxi Province of China (No. 2015JQ6236). Yinghui Zhang is supported by New Star Team of Xi’an University of Posts and Telecommunications (No. 2016-02).
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Zhang, Y., Zhao, J., Zheng, D., Deng, K., Ren, F., Zheng, X. (2018). Privacy-Aware Data Collection and Aggregation in IoT Enabled Fog Computing. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11337. Springer, Cham. https://doi.org/10.1007/978-3-030-05063-4_44
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