Research on Data Security of Intelligent Power Generation Integrating Key Generation and Homomorphic Encryption

As intelligent power generation technology advances, expectations for power data privacy and security are rising, and traditional security control technologies can no longer meet practical needs. To achieve real-time control of users′ power data, this study explores key characteristics of encrypted power data transmission, combines key generation and homomorphic encryption, and proposes a control platform using vector quantization coding and chaotic encryption, enabling secure transmission via a three-stage homomorphic encryption process. Experimental data shows the power data security reaches over 0.9 (max 0.95), 5.4% and 6.5% higher than quantum key-based and analytic hierarchy process-based methods respectively. At 800 bit data volume, the system′s response time is 2.75 s, with anti-attack performance stable above 0.98 amid increasing attacks, suitable for large-scale power generation companies. The results demonstrate broad potential applications in large power firms and significant practical value in protecting users′ power data privacy.