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

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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Bibliographic Details
Main Authors: Sazid Nazat, Lingxi Li, Mustafa Abdallah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anomaly detection
autonomous driving
explainable AI
shapley additive explanations
LIME
feature extraction
Online Access:https://ieeexplore.ieee.org/document/10486915/

Internet

https://ieeexplore.ieee.org/document/10486915/

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