Advancing IoT Security through Blockchain-Driven Dynamic Trust Evaluation
M Ragul, A Aloysius, V. Arulkumar · Indian Journal of Science and Technology · 2025
Objectives: The research presents Dynamic Trust Evaluation (DTEF) as a blockchain-powered framework for IoT security which implements real-time assessment of trust while adapting policies and detecting anomalies. The system intends to overcome scalability and privacy problems that result from operating large-scale IoT networks. Methods: Secure trust evaluations and blockchain network policy enforcement is made possible through the integration of Attribute-Based Access Control (ABAC) and Elliptic Curve Digital Signature Algorithm (ECDSA) within DTEF. Performance evaluation was conducted by testing the system through a virtual Internet of Things (IoT) network which included different devices alongside normal as well as Sybil and DoS attack profiles during its dynamic operational period. DTEF underwent evaluation through performance analysis of its detection accuracy and latency and throughput while matching results against TABI and Fabric-IoT frameworks. Findings: The detection system of DTEF reached 95.2% success in identifying harmful devices while delivering better performance than TABI (90%) and Fabric-IoT (88%). Under high transaction loads the framework delivered improved throughput performance by 15% while cutting down latency by 20%. System capabilities that update trust scores in real time coupled with adaptational access controls minimized threat response times for large IoT networks by guaranteeing high scalability and operational effectiveness. Novelty: The trust mechanism implemented in DTEF achieves better IoT security and resource optimization through its adaptive blockchain design which updates access regulations and trust ratings dynamically based on real-time device operational behavior. Keywords: Blockchain, IoT Security, Dynamic Trust Evaluation, Adaptive Policy Management, Anomaly Detection