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September 5, 2025ElectronicsOpen Access

Review of Fuzzy Methods Application in IIoT Security—Challenges and Perspectives

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Systematic review shows fuzzy set methods improve anomaly detection and risk analysis in IIoT, suggesting their potential in cyber defence.

Fuzzy set methods enhance IIoT security by managing uncertainty and evolving threats, leading to improved outcomes.
Systematic literature review indicates these methods support effective anomaly detection and risk analysis.
Fuzzy Inference Systems and Adaptive Neuro-Fuzzy Inference Systems show resilience to imperfect data, indicating robust performance.
Challenges of optimisation and scalability remain, indicating areas needing further research to strengthen IIoT security.

Krzysztoń et al. (2025) studied this question.

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Systematic review shows fuzzy set methods improve anomaly detection and risk analysis in IIoT, suggesting their potential in cyber defence.