ECC-HASH AUTHENTICATION TECHNIQUE FOR INTERNET OF THINGS DEVICES

Abstract

The Internet of Things (IoT) connects billions of smart devices, enabling seamless data exchange across various domains such as healthcare, smart homes, and industrial automation. However, ensuring secure and efficient user authentication remains a major challenge due to the constrained computational and energy capacities of IoT devices. To address this issue, this paper proposes a Secure and Lightweight User Authentication Technique specifically designed for IoT environments. The proposed method combines Elliptic Curve Cryptography (ECC) with an optimized hash-based mutual authentication mechanism to achieve high security with minimal resource consumption. The system ensures mutual authentication between users and IoT devices while maintaining data confidentiality, integrity, and privacy protection. In the proposed framework, session keys are dynamically generated during each communication to resist replay, impersonation, and man-in-themiddle attacks. Experimental results and comparative analysis demonstrate that the proposed method significantly reduces authentication latency, computation time, and energy consumption when compared with existing schemes. The proposed scheme provides the desired aspects for the IoT environment and that its computational and communication costs are compatible with low-cost IoT devices. Contains solutions and solutions to significant distribution issues in the MTC environment. Besides, this method of authenticated and decentralized group vision used in a variety of situations. The proposed approach addresses the need for faster automation of advanced Agile 6G networks supported by most networking IoT devices. The rapid expansion of machine and device, the use of a wide variety of smart applications such as Smart e-Healthcare, Smart Education, Intelligent Transport Systems, is proliferating. In these applications, various devices identified using RFID (RadioFrequency Identification) tags. Data collected in different geographical locations used to transfer data to other local or remote objects.. Thus, the proposed secure and lightweight authentication model provides a robust, scalable, and energy-efficient solution for establishing trust in resource-constrained IoT networks.