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

S Nazat, L Li, M Abdallah - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

On Evaluating Black-Box Explainable AI Methods for Enhancing Anomaly Detection in Autonomous Driving Systems

S Nazat, O Arreche, M Abdallah - Sensors, 2024 - mdpi.com
The recent advancements in autonomous driving come with the associated cybersecurity
issue of compromising networks of autonomous vehicles (AVs), motivating the use of AI …

ADS-lead: Lifelong anomaly detection in autonomous driving systems

X Han, Y Zhou, K Chen, H Qiu, M Qiu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) are closely connected in the Cooperative Intelligent
Transportation System (C-ITS). They are equipped with various sensors and controlled by …

Experimental analysis of trustworthy in-vehicle intrusion detection system using explainable artificial intelligence (XAI)

H Lundberg, NI Mowla, SF Abedin, K Thar… - IEEE …, 2022 - ieeexplore.ieee.org
Anomaly-based In-Vehicle Intrusion Detection System (IV-IDS) is one of the protection
mechanisms to detect cyber attacks on automotive vehicles. Using artificial intelligence (AI) …

Rx-ads: Interpretable anomaly detection using adversarial ml for electric vehicle can data

CS Wickramasinghe, DL Marino… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recent year has brought considerable advancements in Electric Vehicles (EVs) and
associated infrastructures/communications. Intrusion Detection Systems (IDS) are widely …

[HTML][HTML] Enhancing advanced driver assistance systems through explainable artificial intelligence for driver anomaly detection

TJ Chengula, J Mwakalonge, G Comert, M Sulle… - Machine Learning with …, 2024 - Elsevier
The recent advancements in Advanced Driver Assistance Systems (ADAS) have significantly
contributed to road safety and driving comfort. An integral aspect of these systems is the …

Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey

P Dixit, P Bhattacharya, S Tanwar, R Gupta - Expert Systems, 2022 - Wiley Online Library
The next wave in smart transportation is directed towards the design of renewable energy
sources that can fuel automobile sector to shift towards the autonomous electric vehicles …

Securing VANETs: Multi-Objective Intrusion Detection With Variational Autoencoders

N Nissar, N Naja, A Jamali - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
The rising prevalence of connected vehicles in Vehicular Ad-hoc Networks (VANETs) within
Intelligent Transportation Systems (ITS) has introduced a heightened susceptibility to …

Internet of things meets vehicles: sheltering in-vehicle network through lightweight machine learning

J Xiao, H Wu, X Li - Symmetry, 2019 - mdpi.com
An internet of vehicles allows intelligent automobiles to interchange messages with other
cars, traffic management departments, and data analysis companies about vehicle …

VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles

S Devika, RR Shrivastava, P Narang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The utilization of Connected and Autonomous Vehicles (CAVs) is on the rise, driven by their
ability to provide vehicular services such as enhancing vehicle safety, aiding in intelligent …