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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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Principais autores: Sazid Nazat, Lingxi Li, Mustafa Abdallah
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Anomaly detection
autonomous driving
explainable AI
shapley additive explanations
LIME
feature extraction
גישה מקוונת:https://ieeexplore.ieee.org/document/10486915/
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