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

This paper presents an innovative access control model for decentralized power systems by integrating zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs). 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.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/sgai64825.2025.11009635
Primary Topic
Smart Grid Security and Resilience
Type
article
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Access Control Model of Decentralized Power System Based on zk-SNARKs

Xuefeng Piao, Hao Ding, Chuankang Miao, Lihua Wang et al.
Smart Grid Security and Resilience
article

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

Xuefeng Piao, Hao Ding, Chuankang Miao, Lihua Wang, Zhaomin Wang, Huihui Song, Di Yang
article en

Abstract

This paper presents an innovative access control model for decentralized power systems by integrating zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs). 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.

Harbin Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Smart Grid Security and Resilience
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