Driverless vehicle security: Challenges and future research opportunities
G De La Torre, P Rad, KKR Choo - Future Generation Computer Systems, 2020 - Elsevier
As self-driving vehicles become increasingly popular, new generations of attackers will seek
to exploit vulnerabilities introduced by the technologies that underpin such vehicles for a …
to exploit vulnerabilities introduced by the technologies that underpin such vehicles for a …
Deep learning-based anomaly detection for connected autonomous vehicles using spatiotemporal information
Although connected mymargin autonomous vehicles (CAVs) hold great potential to improve
driving safety and experience significantly, cybersecurity remains a critical concern. As the …
driving safety and experience significantly, cybersecurity remains a critical concern. As the …
[PDF][PDF] Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles.
Abstract Recent advances in Artificial Intelligence have immense potential for the realization
of self-driving applications. In particular, deep neural networks are being applied to object …
of self-driving applications. In particular, deep neural networks are being applied to object …
A Context-Aware Framework for Analysing Automotive Vehicle Security
Recent advancements in technology have transformed conventional mechanical vehicles
into sophisticated computer systems on wheels. This transition has elevated their …
into sophisticated computer systems on wheels. This transition has elevated their …
Adaptive attack recognition method based on probability model for autonomous vehicle
The perception system is essential for autonomous vehicle safety and stability. However, on‐
board sensors are vulnerable to external attacks, compromising driving strategies and …
board sensors are vulnerable to external attacks, compromising driving strategies and …
Developing and Deploying Security Applications for In-Vehicle Networks
SC Hollifield, P Moriano, WL Lambert… - arXiv preprint arXiv …, 2023 - arxiv.org
Radiological material transportation is primarily facilitated by heavy-duty on-road vehicles.
Modern vehicles have dozens of electronic control units or ECUs, which are small …
Modern vehicles have dozens of electronic control units or ECUs, which are small …
Securing Autonomous Vehicles Visual Perception: Adversarial Patch Attack and Defense Schemes With Experimetal Validations
J Liang, R Yi, J Chen, Y Nie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous vehicles (AVs) heavily depend on machine learning-based algorithms for the
purpose of environmental perception. However, extensively utilized deep learning-based …
purpose of environmental perception. However, extensively utilized deep learning-based …
CANGuard: Practical intrusion detection for in-vehicle network via unsupervised learning
W Zhou, H Fu, S Kapoor - 2021 IEEE/ACM Symposium on Edge …, 2021 - ieeexplore.ieee.org
Modern vehicles are becoming more advanced recently by incorporating new functionalities,
such as V2X, more connectivity and autonomous driving. However, these new things also …
such as V2X, more connectivity and autonomous driving. However, these new things also …
Systematic modeling approach for environmental perception limitations in automated driving
Highly automated driving (HAD) vehicles are complex systems operating in an open context.
Complexity of these systems as well as limitations and insufficiencies in sensing and …
Complexity of these systems as well as limitations and insufficiencies in sensing and …
Proactive threat detection for connected cars using recursive Bayesian estimation
H Al-Khateeb, G Epiphaniou, A Reviczky… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
Upcoming disruptive technologies around autonomous driving of connected cars have not
yet been matched with appropriate security by design principles and lack approaches to …
yet been matched with appropriate security by design principles and lack approaches to …