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Trust mechanisms in IIoT software authenticity: challenges and emerging solutions

Research Output: Contribution to journal Article Peer-review

Open access

Abstract

The Industrial Internet of Things (IIoT) represents a transformative frontier in modern industrial operations, offering improved efficiency, predictive maintenance, and enhanced safety. However, ensuring software authenticity within IIoT systems remains a paramount challenge. Traditional trust mechanisms such as digital signatures, certificate authorities, checksums, hash functions, and public key infrastructure exhibit limitations when applied in an IIoT environment. Vulnerabilities emerge, particularly in security, resilience, performance, and scalability, which become accentuated given the resource-constrained nature of many IIoT devices and the massive scale of IIoT deployments. This paper provides a comprehensive analysis of the strengths and limitations of applying conventional trust mechanisms to ensure software authenticity, while also elucidating the potential of emerging technologies. This analysis offers a roadmap for future research and implementation in securing IIoT ecosystems. This article posits integrating emerging technologies, including blockchain, machine learning, and artificial intelligence, to address these gaps in the IIoT security paradigm. These technologies promise decentralised, adaptive, and predictive security measures, potentially elevating the robustness of software authenticity in IIoT environments.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

Journal of Information and Computation (Volume 1, Issue 1)

Publication milestones

  • Published - 03/05/2026

Publication status

Published - 03/05/2026

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