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 language | English |
|---|---|
| Title of host publication | 2025 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 483-486 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798331518806 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025 - Changsha, China Duration: 21 Mar 2025 → 23 Mar 2025 |
Publication series
| Name | 2025 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025 |
|---|
Conference
| Conference | 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025 |
|---|---|
| Country/Territory | China |
| City | Changsha |
| Period | 21/03/25 → 23/03/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- access control model
- power system
- privacy protection
- zk-SNARKs
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