Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models

M Girdhar, J Hong, J Moore - IEEE Open Journal of Vehicular …, 2023 - ieeexplore.ieee.org
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …

AI-based anomaly identification techniques for vehicles communication protocol systems: Comprehensive investigation, research opportunities and challenges

H Ahmad, MM Gulzar, S Aziz, S Habib, I Ahmed - Internet of Things, 2024 - Elsevier
Abstract The use of Controller Area Network in advanced automobiles as a communication
technology is becoming more common. However, there is a lack of adequate privacy …

Valet attack on privacy: A cybersecurity threat in automotive Bluetooth infotainment systems

V Renganathan, E Yurtsever, Q Ahmed, A Yener - Cybersecurity, 2022 - Springer
Modern automobiles are equipped with connectivity features to enhance the user's comfort.
Bluetooth is one such communication technology that is used to pair a personal device with …

[HTML][HTML] REACT: Autonomous intrusion response system for intelligent vehicles

M Hamad, A Finkenzeller, M Kühr, A Roberts… - Computers & …, 2024 - Elsevier
Autonomous and connected vehicles are rapidly evolving, integrating numerous
technologies and software. This progress, however, has made them appealing targets for …

Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms

M De Vincenzi, J Moore, B Smith… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The evolution of Connected Vehicles (CVs) has introduced significant advancements in both
in-vehicle and vehicle-edge platforms, creating a highly connected ecosystem. These …

[HTML][HTML] Состязательные атаки для автономных транспортных средств

ДЕ Намиот, ВП Куприяновский… - International Journal of …, 2024 - cyberleninka.ru
В данной статье рассматриваются состязательные атаки, направленные на модели
машинного (глубокого) обучения, используемых в автономных транспортных …

On Adversarial Attacks for Autonomous Vehicles

D Namiot, V Kupriyanovsky, A Pichugov - International Journal of Open …, 2024 - injoit.org
This article examines adversarial attacks against machine (deep) learning models used in
autonomous vehicles. Artificial intelligence (machine learning) systems play a decisive role …

[PDF][PDF] Car Drivers' Privacy Awareness and Concerns

G Bella, P Biondi - 2023 - researchgate.net
This article investigates the extent to which modern car drivers understand the implications
that cars may have on their privacy. Such implications stem from the variety of services that …

Modeling Poisoning Attacks Against Machine Learning Components of Intrusion Detection Systems

EA Ichetovkin, IV Kotenko - 2024 IEEE 25th International …, 2024 - ieeexplore.ieee.org
To solve intrusion detection problems in computer networks, intrusion detection systems with
machine learning components are now increasingly being used, which provide fairly high …

Protecting Data Communication for the Next Generation Electric Vehicles

D Zelle - 2024 - tuprints.ulb.tu-darmstadt.de
This dissertation focuses on the cybersecurity of modern electric vehicles (EVs), specifically
their communication protocols. The research highlights IT security risks, such as the …