XAI-ADS: An Explainable Artificial Intelligence Framework for Enhancing Anomaly Detection in Autonomous Driving Systems

The advent of autonomous driving systems has given rise to pressing cybersecurity issues regarding the vulnerability of vehicular ad hoc networks (VANETs) to potential attacks. This critical security problem necessitates the application of artificial intelligence (AI) models for anomaly detection in...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Sazid Nazat, Lingxi Li, Mustafa Abdallah
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Anomaly detection autonomous driving explainable AI shapley additive explanations LIME feature extraction
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10486915/