APPLICATION OF FULLY HOMOMORPHIC ENCRYPTION IN SECURING AND PROCESSING ELECTRICAL ENERGY CONSUMPTION DATA IN SMART BUILDINGS

Tóm tắt

Homomorphic encryption is an emerging cryptographic method that allows data to be processed while still encrypted, offering a promising solution for maintaining privacy in sensitive applications. In this study, we present a practical implementation of  the homomorphic encryption aimed at real-world scenarios, with a particular focus on the electricity and energy sectors, domains where data security and confidentiality are critical. We evaluate the performance of the homomorphic encryption by applying it to encrypted energy consumption data and demonstrate that it enables meaningful computations without compromising privacy. Our results show that despite computational overhead, optimizations make homomorphic encryption viable for secure analytics, with a key advantage over AES and RSA: computing directly on encrypted data. This is crucial for smart buildings, where energy usage data must be processed securely. FHE ensures privacy by allowing remote analysis of encrypted electricity data, preventing leaks or misuse. The reliability of FHE makes it a promising solution for securing energy systems and critical infrastructure in privacy-focused smart environments.