A SECURE AND EFFICIENT FRAMEWORK FOR IOT NETWORKS USING BLOCKCHAIN-ENABLED KEY MANAGEMENT, CONTEXT-AWARE ROUTING, AND LIGHTWEIGHT CRYPTOGRAPHY

DOI: https://doie.org/10.0113/Jbse.2025629681

Vinay B. , Dr. Balakrishna R.

Keywords:

Secure Routing, IoT Authentication, Blockchain Key Management, Intrusion Detection System, Lightweight Encryption.

Abstract:

The swift expansion of the Internet of Things (IoT) has transformed various sectors, encompassing smart cities, healthcare, and industrial automation. Despite this, IoT networks have security problems like unauthorized access, data corruption, and limited resources that mean strong solutions are needed to make sure safe communication and good data management. This document presents a comprehensive framework that integrates secure routing, lightweight authentication, and blockchain-based key management to tackle these challenges effectively. The framework utilizes Elliptic Curve Cryptography (ECC) to ensure efficient and secure device authentication. It uses a GRU-based Intrusion Detection System (IDS) to find malicious nodes before they do any damage and a context-aware routing algorithm to send data more efficiently. When combined with Hash-based Message Authentication Code (HMAC), a genetic algorithm-driven sub-key generation mechanism makes data encryption and integrity much better. The outcomes of the simulation confirm the framework’s efficacy, showcasing a 40% reduction in latency, a 28.6% decline in energy consumption, and a packet delivery ratio of 98.5%. The framework also achieves high security robustness, mitigating threats such as MITM, replay, brute force, and DDoS attacks with success rates exceeding 90%. The attributes of scalability, energy efficiency, and resilience render it highly appropriate for practical IoT implementations, especially within essential domains such as smart cities and industrial automation. This study offers a substantial advancement in the creation of secure and efficient IoT ecosystems, establishing a foundation for future improvements in dynamic and resource-limited settings.

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