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Double layer blockchain-assisted trusted data flow model for industrial control systems

Author

Listed:
  • Peng, Xiangzhen
  • Zheng, Chengliang
  • Wang, Yidi
  • Cui, Xiaohui
  • Shen, Zhidong

Abstract

With the development of information technology (IT), the blurred network boundary between the Operational Technology (OT) network and the IT network poses a higher risk of cyber-attacks on the flow of data in Industrial Control System (ICS). Deep isolation of ICS, enhanced data access control in ICS, and proactive defense against cyber-attacks in ICS can help achieve the secure flow of highly sensitive data in ICS. This article proposes a dual-layer blockchain-assisted data flow protection framework for ICS, driven by blockchain, and conducts simulation and analysis. Firstly, OT-blockchain and IT-blockchain were designed to redefine the network boundary of ICS. Secondly, an identity-assisted authentication mechanism based on Bloom filters and trusted databases was designed to rapidly identify dishonest nodes. Then, an ICS-RBAC zero-trust access control mechanism based on RBAC was designed to ensure the security of the OT blockchain and achieve zero-trust data exchange between the IT-blockchain and ICS physical devices. And, an active defense mechanism for ICS was designed based on the principle of the heartbeat mechanism. Finally, model analysis and simulation verification are conducted. The results indicate that this study can achieve trusted data flow in ICS and fine-grained zero-trust access control, providing security guarantees.

Suggested Citation

  • Peng, Xiangzhen & Zheng, Chengliang & Wang, Yidi & Cui, Xiaohui & Shen, Zhidong, 2025. "Double layer blockchain-assisted trusted data flow model for industrial control systems," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:reensy:v:260:y:2025:i:c:s0951832025002145
    DOI: 10.1016/j.ress.2025.111013
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    References listed on IDEAS

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    1. Zhang, Wei & Wang, Ziwei & Li, Xiang, 2023. "Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Feng, Jian Rui & Zhao, Meng-ke & Lu, Shou-xiang, 2024. "Accident spread and risk propagation mechanism in complex industrial system network," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Wang, Yang & Ye, Ting & Zio, Enrico & Wang, Tengfei & Wu, Bing, 2024. "A blockchain-based credibility evaluation scheme for navigational event dissemination in the internet of ships," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    4. Yin, Zhenqin & Zhuo, Yue & Ge, Zhiqiang, 2023. "Transfer adversarial attacks across industrial intelligent systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    5. Wang, Feng & Tian, Jin & Ling, Jiamu & Chen, Zian & Xu, Zhengguo, 2025. "A multi-stage resilience analysis framework of critical infrastructure systems based on component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    6. Xiangzhen Peng & Xin Zhang & Xiaoyi Wang & Haisheng Li & Jiping Xu & Zhiyao Zhao, 2022. "Multi-Chain Collaboration-Based Information Management and Control for the Rice Supply Chain," Agriculture, MDPI, vol. 12(5), pages 1-26, May.
    7. Wang, Yang & Chen, Peng & Wu, Bing & Wan, Chengpeng & Yang, Zaili, 2022. "A trustable architecture over blockchain to facilitate maritime administration for MASS systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    8. Yuan, Shuaiqi & Reniers, Genserik & Yang, Ming, 2024. "Integrated management of safety and security barriers in chemical plants to cope with emerging cyber-physical attack risks under uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    9. Feng, Jian Rui & Zhao, Mengke & Yu, Guanghui & Zhang, Jiaqing & Lu, Shouxiang, 2023. "Dynamic risk analysis of accidents chain and system protection strategy based on complex network and node structure importance," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
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