Trusted Mechanism for Malware Detection using Blockchain with Minimal Overhead of Data Integrity for IIoT
N. Padmashri, R. Swathiramya, Sathish Kumar Ravichandran, T.R. Lekhaa · Journal of Machine and Computing · 2025
A trusted mechanism for detecting malware in Industrial Internet of Things (IIoT) using blockchain technology is proposed. The proposed mechanism leverages the immutability and decentralization features of blockchain to ensure the integrity of the malware detection process, while minimizing the overhead associated with data integrity. The mechanism involves the use of a consensus algorithm, Proof of Authority (PoA) to validate malware detection results and a smart contract to enforce the consensus rules. Experimental results show that the proposed approach can efficiently detect malware in IIoT environments with minimal impact on system performance. The proposed architecture is thoroughly validated using MATLAB and a variety of security criteria, including attack strength, message alteration, and false validation probability. Based on the obtained results, the suggested method is effective in improving the security of IIoT networks by detecting malware attacks within the network. The proposed mechanism provides a promising solution for enhancing the security of IIoT systems, which are becoming increasingly vulnerable to cyber-attacks.