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Data Privacy Protection in Industrial Internet of Things: New Research Outlines Solution

Strategic Insights

— 1 min read

Researchers from Chongqing University of Posts and Telecommunications have developed a novel data privacy protection system for the Industrial Internet of Things (IIoT) based on 5G core networks. The system, which focuses on secure and decentralized communications between IIoT devices and other network components, has been validated through simulations and experiments. The proposed approach ensures robust and scalable IIoT data privacy protection.

Key Takeaways:

  • The research highlights the risks of data leakage during aggregation and transmission in IIoT, emphasizing the need for effective data privacy protection.
  • The proposed system uses a federation chain-based approach to facilitate secure and decentralized communications between IIoT devices and other network components.
  • The system employs an authentication algorithm based on the Bulletproofs zero-knowledge proof technique to prevent unauthorized data access.
  • A data encryption and decryption algorithm based on the Paillier partially homomorphic encryption is used to ensure user privacy.
  • An anomaly flow detection and analysis module, based on a foundation model, is designed to improve the security of the system for anomalous signaling flows.
  • The system has been tested on a 5G CN simulation testing platform, demonstrating its feasibility and effectiveness.
  • The research conducted by the Chongqing University of Posts and Telecommunications has significant implications for the development of secure IIoT systems.

Statistics:

  • The research proposes a novel data privacy protection system for IIoT, which focuses on secure and decentralized communications between IIoT devices and other network components.
  • The system uses a federation chain-based approach, which has been validated through simulations and experiments.
  • The proposed approach ensures robust and scalable IIoT data privacy protection, with experimental results showing that the system can prevent unauthorized data access.
  • The research has been peer-reviewed and published in the Ieee Internet of Things Journal, vol. 12, no. 19, pp. 39260-39271, 2025.

Sources:

  • "Federation Chain for Data Privacy Protection In Industrial Internet of Things: the Perspective From 5g Core Networks." Ieee Internet of Things Journal, 2025;12(19):39260-39271.
  • Xuanrui Xiong, Xiaojie Wang, Tengfei Li, Zhaolong Ning, and Yunli Gao, Chongqing University of Posts and Telecommunications, School of Communications and Information Engineering, Chongqing 400065, People's Republic of China.
  • National Natural Science Foundation of China (NSFC), National Natural Science Foundation of Chongqing, Science and Technology Research Program for Chongqing Municipal Education Commission.

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