Smart grid adopts two-way communication and rich functionalities to gain a positive impact on the sustainability and efficiency of power usage, but on the other hand, also poses serious challenges to customers' privacy. Existing solutions in smart grid usually use cryptographic tools, such as homomorphic encryption, to protect individual privacy, which, however, can only support limited and simple functionalities. Moreover, the resource-constrained smart meters need to perform heavy asymmetric cryptography in these solutions, and thus unnecessarily increases load on smart grid. In this paper, we present a practical and secure SGX-enabled smart grid system, named SecGrid. Our system leverages trusted hardware SGX to ensure that grid utilities can efficiently execute rich functionalities on customers' private data, while guaranteeing their privacy. With our well-devised security protocols in SecGrid, only the smart meters need to perform AES encryption. To validate the superiority of our design, we conduct security analysis and experimentation. Security analysis shows that SecGrid can thwart various attacks from malicious adversaries, and the experimental results show that SecGrid is much faster than the existing privacy-preserving schemes in smart grid.
Other authors, such as in REF , propose a privacy-preserving scheme for resource-constrained smart meters.
SecGrid: A Secure and Efficient SGX-Enabled Smart Grid System With Rich Functionalities
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security
Computer Science