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Blockchain and Federated Learning-based Intrusion Detection Approaches for Edge-enabled Industrial IoT Networks: A Survey

This survey explores the integration of blockchain technology and federated learning to enhance intrusion detection systems (IDS) in industrial IoT (IIoT) netwo

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Abstract

This survey explores the integration of blockchain technology and federated learning to enhance intrusion detection systems (IDS) in industrial IoT (IIoT) networks. As industrial systems become increasingly interconnected, they face advanced persistent threats that static security measures cannot easily mitigate. The paper details how blockchain can provide a tamper-proof logging mechanism for IDS results, while federated learning enables collaborative model training across edge devices without compromising local data privacy. The authors categorize current methodologies, highlighting how this hybrid approach addresses the challenges of data sparsity and security in industrial settings. The study serves as a foundational resource for understanding how decentralized intelligence can augment cybersecurity posture in high-stakes environments, emphasizing the synergy between privacy-preserving machine learning and immutable verification. Authors: ResearchGate Publication: Academic Paper Publication date: 2023-01-01

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Key findings

  • Federated learning allows for local data training, which keeps sensitive industrial intelligence off the public network.
  • Blockchain ensures the immutability of IDS attack signatures across distributed industrial nodes.
  • The hybrid approach offers superior robustness against adversarial machine learning attacks compared to centralized IDS.
  • Real-time edge-level detection is achievable through decentralized model consensus.

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Citation

ResearchGate (2023). Blockchain and Federated Learning-based Intrusion Detection Approaches for Edge-enabled Industrial IoT Networks: A Survey. Academic Paper. https://www.researchgate.net/publication/374509285_Blockchain_and_Federated_Learning-based_Intrusion_Detection_Approaches_for_Edge-enabled_Industrial_IoT_Networks_A_Survey
Canonical knowledge ID: research:blockchain-and-federated-learning-based-intrusion-detection-approaches-for-edge-enabled-industrial-iot-networks-a-survey