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Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …
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
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 …
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
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 …
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
Autonomous and connected vehicles are rapidly evolving, integrating numerous
technologies and software. This progress, however, has made them appealing targets for …
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 …
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 …
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 …
autonomous vehicles. Artificial intelligence (machine learning) systems play a decisive role …
[PDF][PDF] Car Drivers' Privacy Awareness and Concerns
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 …
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 …
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 …
their communication protocols. The research highlights IT security risks, such as the …