Integration and Optimization of Communication Data Security Transmission Mechanisms and Models in Power Consumption Verification

Abstract

The rapid expansion of smart metering infrastructure has escalated the demand for secure and energy-efficient power consumption verification. Traditional verification protocols often suffer from immense communication overheads and high energy requirements, particularly at scale, making them vulnerable to interception and data alteration. This challenge is directly analogous to the textile industry’s imperative for efficient and highly secure auditing of material and energy usage within global supply chains, given that traditional monitoring protocols are typically characterized by high latency, significant resource overhead, and vulnerability to data fraud or tampering. The paper proposes a composite security method for smart grid data transmission, combining lightweight authentication, homomorphic data aggregation, and energy-aware routing with an optimized verification model for consumption auditing. It employs Elliptic Curve Cryptography (ECC) for mutual authentication, Paillier homomorphic encryption for secure data aggregation, and a dynamic routing algorithm for low energy transmission. Experiments on a simulated Advanced Metering Infrastructure (AMI) network demonstrated that the Hybrid scheme, compared to pure Homomorphic Encryption (HE), reduced energy consumption by 42% while maintaining a competitive True Positive Rate (TPR) of 95.7% and significantly lower latency of ~150 ms. These results demonstrate an effective trade-off among security, integrity, and system durability using energy-conscious communication. This dual focus is highly applicable to the textile industry, providing a foundational technical approach for securely and efficiently auditing the complex energy consumption and material usage data across large-scale, automated manufacturing facilities.