Secure Device Authentication with Blockchain Based Trust Technique for IoT

Abstract

With the rapid increase of Internet of Things (IoT) devices, it is a challenge to ensure secure and reliable device authentication. Conventional blockchain-based solutions provide immutability and transparency, but dynamic trust management is not present, resulting in limited scalability in heterogeneous IoT environments. To overcome these drawbacks, this study presents a blockchain-integrated trust-based authentication and access control framework designed specifically for IoT networks. The proposed model combines deterministic blockchain validation with probabilistic trust computation, enabling adaptive decision-making while preserving system integrity. Performance analysis highlights the efficiency of the approach: decryption consistently executes in less than one second, trust score evaluation completes within two seconds, and memory usage demonstrates storage efficiency. During trust updates, memory requirements peak at 173.1 MB, while image processing operations consume slightly more memory. Incremental growth during trust point updates is minimal, around 2.9 MB, indicating lightweight overhead. The results confirm that the architecture achieves a strong balance between security and performance, offering rapid authentication without compromising resource efficiency. By merging blockchain policy enforcement with trust reasoning, the framework advances current IoT security mechanisms and offers a scalable solution applicable across domains such as smart homes, industrial automation, and edge computing.