Explaining the Black Box: An XAI-Driven Trustworthiness Audit of ML-Based IoT Intrusion Detection Across Attack Categories
Machine learning classifiers for Internet of Things (IoT) intrusion detection routinely report accuracy above 99%, yet this conceals systematic failures on operationally important minority categories such as BruteForce and Web-based attacks, and the global explainability analyses usually applied to these models say not...