Energy-aware Security Optimized Elliptic Curve Digital Signature Algorithm for Universal IoT Networks

Ensuring security, integrity, and energy efficiency in Internet of Things (IoT) networks is a critical challenge due to the resource constraints of IoT devices. Traditional digital signature algorithms such as RSA, ECDSA, and EdDSA provide security but often lack energy optimization, making them inefficient for large-scale IoT deployments. To address these challenges, this research proposes an Energy-aware Security Optimized Elliptic Curve Digital Signature Algorithm (EECDSA) for universal IoT networks. EECDSA enhances conventional ECDSA by integrating three novel functional modules: Lightweight Context Sensitivity Imposer (LCSI), Adaptive Computational Complexity Overseer (ACCO), and Energy-aware ECDSA Signer (EAES). These modules dynamically adjust security parameters based on contextual sensitivity, optimize computational complexity to balance security and resource consumption, and ensure energy-efficient digital signing in IoT environments. The proposed method is evaluated using OPNET simulations, measuring both security and network performance metrics, including Accuracy, Precision, Sensitivity, Specificity, F-Score, Throughput, Latency, Jitter, Energy Consumption, Packet Delivery Ratio, and Security Levels. Experimental results demonstrate that EECDSA outperforms existing security solutions, achieving higher security resilience (99.55%), reduced energy consumption (511.6mJ), and improved network performance. These findings validate EECDSA as an efficient and scalable security mechanism for IoT ecosystems.