Privacy-Preserving Data Aggregation with Dynamic Billing in Fog-Based Smart Grid
Source abstract
Abstract
As the next-generation grid, the smart grid (SG) can significantly enhance the reliability, flexibility as well as efficiency of electricity services. To address latency and bandwidth issues during data analysis, there have been attempts to introduce fog computing (FC) in SG. However, fog computing-based smart grid (FCSG) face serious challenges in security and privacy. In this paper, we propose a privacy-preserving data aggregation scheme that supports dynamic billing and arbitration, named PPDB. Specifically, we design a four-layer data aggregation framework which uses fog nodes (FNs) to collect and aggregate electricity consumption data encrypted under the ElGamal cryptosystem and employ distributed decryption to achieve fine-grained access and bills generation based on real-time prices. In addition, we introduce a trusted third party to arbitrate disputed bills. Detailed security analysis proves that the proposed PPDB can guarantee the confidentiality, authentication and integrity of data. Compared with related schemes, the experimental results show that the communication overhead of our scheme is reduced by at least 38%, and the computational efficiency in the billing phase is improved by at least 40 times.
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Research context
OpenAlex topics: Smart Grid Security and Resilience · Blockchain Technology Applications and Security · Cryptography and Data Security
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China
Guangxi Key Laboratory of Cryptography and Information Security, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen 518055, China
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China
Hangzhou Innovation Institute, Beihang University, Hangzhou 310052, China
Funding
the National Key R&D Program of China · the Guangxi Natural Science Foundation · the Major Key Project of PCL · the National Natural Science Foundation of China
References (37)
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