Secure Edge IoT Intrusion Detection Framework for Industrial IoT via Blockchain Integration

Abstract

In essence, blockchain is a distributed, secure ledger that contains a hierarchical network of blocks that maintains a record of all transactions. Bringing cloud capabilities closer to computation tasks is the goal of edge computing. It is possible to overcome existing security and scalability issues with blockchain and edge computing. Security is strengthened by the integration of Blockchain technology into Industrial IoT (IIoT) intrusion detection frameworks. In the proposed framework, the decentralized and tamper-proof nature of Blockchain is leveraged to enhance trust and integrity at the edge of the network in the detection of malicious activities. It aims to identify and mitigate cyber threats in IIoT systems for a robust security solution. The framework's performance is measured using various IIoT scenarios, including detection accuracy, response time, delay time, and overall performance score. A combination of blockchain technology and edge-based intrusion detection significantly improves the security posture of IIoT networks, producing high detection accuracy and minimal delays. A more resilient, trustworthy and secure IIoT network can be achieved with this study, which advances secure IIoT architectures.