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CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data

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Data Mining and Big Data (DMBD 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1744))

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Abstract

Analyzing statistical features of electrical data is an important issue in the field of electrical data research, which often concerns collecting huge amounts of original data from various sources. Evidently, data compression and security issues are two key aspects of such process. However, a proportion of electrical data owners may agree to support electrical data analysis only when their private data are not disclosed to the public or even to the researchers. To address this problem, this paper proposes a secure data processing method named Compressed Sensing Homomorphic Encryption Method (CSHEM), which simultaneously achieves data compression and encryption. CSHEM also could allow researchers to reconstruct statistical analysis results of the original electrical data without requirements to possess these original data. We conduct experiments and simulations using real electrical data from over 100 households. The results show that the proposed method could realize data compression and encryption, and the reconstruction results could express the true statistical information of the original data.

This work is supported in part by the National Key Research and Development Program of China (Grant no. 2020YFB1805402), the National Natural Science Foundation of China (Grant nos. 61972051, 62032002) and BUPT Excellent Ph.D. Students Foundation (CX2022139).

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Authors and Affiliations

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

    Wei Wu, Haipeng Peng & Lixiang Li

Authors
  1. Wei Wu
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  2. Haipeng Peng
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  3. Lixiang Li
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Corresponding author

Correspondence to Haipeng Peng .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Wu, W., Peng, H., Li, L. (2022). CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2022. Communications in Computer and Information Science, vol 1744. Springer, Singapore. https://doi.org/10.1007/978-981-19-9297-1_19

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  • DOI: https://doi.org/10.1007/978-981-19-9297-1_19

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  • Print ISBN: 978-981-19-9296-4

  • Online ISBN: 978-981-19-9297-1

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