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Low-cohesion differential privacy protection for industrial Internet

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Abstract

Due to the increasing intelligence of data acquisition and analysis in cyber physical systems (CPSs) and the emergence of various transmission vulnerabilities, this paper proposes a differential privacy protection method for frequent pattern mining in view of the application-level privacy protection requirements of industrial interconnected systems. This method designs a low-cohesion algorithm to realize differential privacy protection. In the implementation of differential privacy protection, Top-k frequent mode method is introduced, which combines the factors of index mechanism and low cohesive weight of each mode, and the original support of each selected mode is disturbed by Laplacian noise. It achieves a balance between privacy protection and utility, guarantees the trust of all parties in CPS and provides an effective solution to the problem of privacy protection in industrial Internet systems.

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  1. http://fimi.ua.ac.be/data/.

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Acknowledgements

This paper supported by The Fundamental Research Funds for the Central Universities (No. 30918012204, Military Common Information System Equipment Pre-research Special Technology Project (315075701), 2019 Industrial Internet Innovation and Development Project from Ministry of Industry and Information Technology of China, 2018 Jiangsu Province Major Technical Research Project “Information Security Simulation System”, and Shanghai Aerospace Science and Technology Innovation Fund (SAST2018-103).

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Authors and Affiliations

  1. Department of Social Sciences, Nanjing Institute of Industry Technology, 210023, Nanjing, China

    Jun Hou

  2. School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

    Qianmu Li, Shicheng Cui, Shunmei Meng & Sainan Zhang

  3. School of Information Engineering, Nanjing Xiaozhuang University, Nanjing, 211171, China

    Qianmu Li & Zhen Ni

  4. Jiangsu Zhongtian Internet Technology Co., Ltd., Jiangsu Zhongtian Technology Co., Ltd., Nantong, 226463, China

    Qianmu Li

  5. China Information Communication Technologies Group Corporation, Wuhan, 430000, China

    Ye Tian

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  1. Jun Hou
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Correspondence to Qianmu Li.

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Hou, J., Li, Q., Cui, S. et al. Low-cohesion differential privacy protection for industrial Internet. J Supercomput 76, 8450–8472 (2020). https://doi.org/10.1007/s11227-019-03122-y

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