Journal of East China Normal University(Natural Science) ›› 2021, Vol. 2021 ›› Issue (5): 169-184.doi: 10.3969/j.issn.1000-5641.2021.05.015

• Data Analysis and Applications • Previous Articles     Next Articles

Power marketing big data access control scheme based on a multi-level strategy

Yue ZHANG1, Xiuxia TIAN1,*(), Yuncheng YAN2, Guanyu LU1   

  1. 1. College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai 200090, China
    2. College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2021-08-09 Online:2021-09-25 Published:2021-09-28
  • Contact: Xiuxia TIAN


With the rapid proliferation of technology, the degree of informatization in the financial industry continues to increase. The integration of financial data with power marketing platforms, moreover, is accelerating the interaction between users and power marketing platform data (e.g., basic customer details, energy metering data, electricity fee recovery data). The increased interaction, however, leads to higher data transmission leakage which can result in incorrect formulation of power usage strategies and electricity prices. Therefore, to satisfy the security requirements for data interaction in power marketing systems and ensure economic benefits for the power company, we propose an Ordered Binary Decision Diagram (OBDD) based on Ciphertext Policy Attribute Based Encryption (CP-ABE). This multi-level access approach can reduce the autonomy of shared data authority control in the remote terminal unit and improve the efficiency of data access. In addition, based on security and performance analysis, the proposed access control scheme is both more efficient and more secure than other schemes.

Key words: power marketing, multi-level access control, OBDD, CP-ABE

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