IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v260y2025ics0951832025002145.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832025002145
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2025.111013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. 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).
    3. Yin, Zhenqin & Zhuo, Yue & Ge, Zhiqiang, 2023. "Transfer adversarial attacks across industrial intelligent systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. 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.
    5. 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).
    6. 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).
    7. 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).
    8. 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).
    9. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Song, Zhiting & Zhu, Jianhua & Chen, Kun, 2025. "Robustness analysis of smart manufacturing systems against resource failures: A two-layered network perspective," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    2. Li, Jian & Yang, Zhao & He, Hongxia & Guo, Changzhen & Chen, Yubo & Zhang, Yong, 2024. "Risk causation analysis and prevention strategy of working fluid systems based on accident data and complex network theory," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
    3. Lian, Zheng & Zhou, Zhi-Jie & Hu, Chang-Hua & Wang, Jie & Zhang, Chun-Chao & Zhang, Chao-Li, 2024. "A health assessment method with attribute importance modeling for complex systems using belief rule base," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    4. Mousavi, Milad & Shen, Xuesong & Zhang, Zhigang & Barati, Khalegh & Li, Binghao, 2025. "IoT-Bayes fusion: Advancing real-time environmental safety risk monitoring in underground mining and construction," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    5. Li, Jing & Lu, Qing-Chang & Xu, Peng-Cheng & Liu, Liping & Wang, Shixin, 2025. "Critical station identification for cascading failure mitigation considering the Lyapunov-stability of metro stations," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    6. Fa Zhang & Yimiao Gu, 2022. "Approach to an Equivalent Freight-Based Sustainable Joint-Quotation Strategy for Shipping Blockchain Alliance," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    7. Deng, Ye & Wang, Zhigang & Xiao, Yu & Shen, Xiaoda & Kurths, Jürgen & Wu, Jun, 2025. "Spatial network disintegration based on spatial coverage," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    8. Liu, Jintao & Chen, Keyi & Duan, Huayu & Li, Chenling, 2024. "A knowledge graph-based hazard prediction approach for preventing railway operational accidents," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    9. Lin, Yanzhuo & Wang, Yu & Zhang, Mingquan & Zhao, Ming, 2025. "A robust source-free unsupervised domain adaptation method based on uncertainty measure and adaptive calibration for rotating machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    10. Cheng, Tingting & Utne, Ingrid Bouwer & Wu, Bing & Wu, Qing, 2023. "A novel system-theoretic approach for human-system collaboration safety: Case studies on two degrees of autonomy for autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    11. Wang, Jingyuan & Liu, Zhen & Yao, Xutian & Wang, Yong & Li, Qi & Mi, Jinhua, 2025. "A sequential diagnostic strategy generation transformation method for large-scale systems based on multi-signal flow graph model and multi-objective optimization," Reliability Engineering and System Safety, Elsevier, vol. 259(C).
    12. Yang Ge & Yong Ren, 2024. "Federated Transfer Fault Diagnosis Method Based on Variational Auto-Encoding with Few-Shot Learning," Mathematics, MDPI, vol. 12(13), pages 1-18, July.
    13. 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).
    14. Zhang, Chenwei & Wang, Ying & Zheng, Tao & Wang, Chen & Zhang, Kaifeng, 2024. "Identifying critical weak points of power-gas integrated energy system based on complex network theory," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    15. Wei, Wei & Sun, Guobin & Li, Peng & Zhang, Qinghui, 2025. "Employing the cluster of node cut sets to improve the robustness of the network measured by connectivity," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
    16. Zheng, Xiangyu & Liu, Qi & Li, Yufeng & Wang, Bo & Qin, Wutao, 2025. "Safety risk assessment for connected and automated vehicles: Integrating FTA and CM-improved AHP," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    17. Li, Xinxin & Huang, Wencheng, 2025. "Resilience quantification method of high-speed railway train diagram under operation section interference: Strategies and practices," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    18. Ding, Peng & Zhao, Xiaoli & Shao, Haidong & Jia, Minping, 2023. "Machinery cross domain degradation prognostics considering compound domain shifts," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    19. Iaiani, Matteo & Fazari, Giuseppe & Tugnoli, Alessandro & Cozzani, Valerio, 2025. "Identification of reference security scenarios from past event datasets by Bayesian Network analysis," Reliability Engineering and System Safety, Elsevier, vol. 254(PB).
    20. Zhao, Ke & Hu, Junchen & Shao, Haidong & Hu, Jiabei, 2023. "Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:260:y:2025:i:c:s0951832025002145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.