Achieving Secure and Efficient Multi-layer Data Sharing for Smart Grid

In the smart grid, a vast amount of data is collected by intelligent terminal devices, enabling more comprehensive and intelligent monitoring and management of the grid. However, privacy and security concerns regarding data sharing, including data access, circulation, and analysis, have become increasingly prominent in the smart grid. For instance, during data access, malicious adversaries may attempt unauthorized access, theft, and tampering with stored data. Secondly, unprotected data may also be leaked during data circulation. Additionally, resource-limited terminal devices delegate complex data analysis tasks to cloud services, potentially exposing sensitive information to cloud service providers. To address the above-mentioned issues, a multi-layer secure data sharing framework for smart grid is proposed. Various encryption techniques are adopted based on the characteristics of data sharing at different layers. In data access and circulation, we utilize ciphertext policy attribute-based encryption (CP-ABE) technology and dynamically update the policy to achieve fine-grained access control and ensure data flow security, all while considering efficiency. When utilizing cloud services, we employ Cheon-Kim-Kim-Song (CKKS) homomorphic encryption technology to enable the cloud to perform a series of analytical tasks on encrypted data, thus ensuring data security. Experimental analysis demonstrates that our framework can achieve fine-grained access control while also exhibiting high efficiency in data circulation and cloud service utilization.