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ZTF-SF: a zero-trust blockchain-enabled IIoT framework for secure smart factories

  • Maruf Farhan(corresponding author)
    ,
  • Madhuki Rajapakshe
    ,
  • Rejwan Bin Sulaiman
    ,
  • Mohammad Aljaidi
    ,
  • Usman Butt
    ,
  • Mohammad Ahmad
*Corresponding author for this work
  • University of Sussex
    ,
  • Coventry University
    ,
  • Northumbria University
    ,
  • Zarqa University
    ,
  • Ajman University
    ,
  • University of Petra
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-review

Abstract

Modern smart factories increasingly rely on Industrial Internet of Things (IIoT) devices for automation and monitoring, expanding the attack surface and exposing limits of traditional perimeter-based security. Zero-trust security addresses this by eliminating implicit trust and continuously verifying every entity and action, while blockchain offers decentralized trust management and tamper-evident auditing. This paper proposes ZTF-SF, a conceptual framework for securing the IIoT-driven manufacturing using zero trust network access and a permissioned consortium blockchain. Blockchain is employed to manage the device identities, enforce trust consistency among components, and record security-played events in unchangeable audit logs. ZTF-SF provides, as part of ZTF IMT, continuous authentication, fine-grained authorization, micro-segmentation, and adaptive monitoring at heterogeneous IIoT devices. A threat model is presented for smart manufacturing and how ZTF-SF reduces various potential attacks known to affect smart manufacturing, like misuse from the inside and multi-stakeholder trust gaps, with decentralized verification and enforcement that can be audited.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-review

Original language

English

Publication milestones

  • Published - 08/06/2026

Publication status

Published - 08/06/2026

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: 2026 2nd International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2026 - Proceedings

ISBN (Electronic)

9798331556587

Publication IDs

  • Scopus: 105042402478

Host publication title

2026 2nd International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2026 - Proceedings