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Access Control Model of Decentralized Power System Based on zk-SNARKs

  • Chuankang Miao
  • , Hao Ding
  • , Lihua Wang
  • , Zhaomin Wang
  • , Di Yang
  • , Huihui Song*
  • , Xuefeng Piao
  • *Corresponding author for this work
  • State Grid Binzhou Power Supply Company
  • Harbin Institute of Technology Weihai
  • State Grid Binzhou Power Supply Company

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an innovative access control model for decentralized power systems by integrating zero-knowledge succinct non-interactive arguments of knowledge (zkSNARKs). The proposed model addresses the growing need for secure, privacy-preserving management of access rights within distributed energy infrastructures. By leveraging zk-SNARKs, the system ensures that authorization can be validated without disclosing sensitive information, thereby enhancing both security and operational transparency. The model is rigorously analyzed through a combination of theoretical proofs and simulation experiments, demonstrating its effectiveness in mitigating unauthorized access and reducing computational overhead. Our findings indicate that the zk-SNARK-based approach not only fortifies the security framework of decentralized power systems but also facilitates scalable and efficient access management. This work provides a critical step towards the realization of robust, privacy-aware energy networks in the era of smart grids and distributed generation.

Original languageEnglish
Title of host publication2025 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages483-486
Number of pages4
ISBN (Electronic)9798331518806
DOIs
StatePublished - 2025
Externally publishedYes
Event2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025 - Changsha, China
Duration: 21 Mar 202523 Mar 2025

Publication series

Name2025 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025

Conference

Conference2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025
Country/TerritoryChina
CityChangsha
Period21/03/2523/03/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • access control model
  • power system
  • privacy protection
  • zk-SNARKs

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