Blockchain-based secure and intelligent sensing scheme for autonomous vehicles activity tracking beyond 5g networks
… Intelligent Transportation System (ITS) aims to manage and optimize the traffic congestion,
road accidents, parking allocation using Autonomous Vehicles (AV) system, where the AVs …
road accidents, parking allocation using Autonomous Vehicles (AV) system, where the AVs …
Avguardian: Detecting and mitigating publish-subscribe overprivilege for autonomous vehicle systems
… Abstract—Autonomous vehicle (AV) software systems … to vehicle collision and identity theft
for AV owners, which have been reported to Baidu Apollo and confirmed as valid. For defense…
for AV owners, which have been reported to Baidu Apollo and confirmed as valid. For defense…
[HTML][HTML] Human factors in the cybersecurity of autonomous vehicles: Trends in current research
V Linkov, P Zámečník, D Havlíčková… - Frontiers in psychology, 2019 - frontiersin.org
… Autonomous vehicles (AV) are vulnerable to many kinds of cyberattacks. The software …
The human is always the weakest point in defending against an attack and dealing with the …
The human is always the weakest point in defending against an attack and dealing with the …
Hidden voice commands: Attacks and defenses on the VCS of autonomous driving cars
… voice commands and the corresponding defense strategies, propose a classification of …
the VCS of autonomous driving cars. Then, we propose a general defense strategy for different …
the VCS of autonomous driving cars. Then, we propose a general defense strategy for different …
Security modeling of autonomous systems: A survey
… The design and development of autonomous vehicles in several developed countries to
ease transportation is no secret. On the other hand, domains such as agriculture, healthcare, …
ease transportation is no secret. On the other hand, domains such as agriculture, healthcare, …
Adversarial attack against urban scene segmentation for autonomous vehicles
… defense method, adversarial training, to analyze the robustness of the DeepLab-V3+ framework
and present the attacking segmentation result after the defense… attacking and defense to …
and present the attacking segmentation result after the defense… attacking and defense to …
What humanlike errors do autonomous vehicles need to avoid to maximize safety?
AS Mueller, JB Cicchino, DS Zuby - Journal of safety research, 2020 - Elsevier
… It is assumed most crashes will be prevented by autonomous vehicles (AVs), but AVs will still
… behind vehicle control is also critical with respect to adherence to traffic laws and defensive …
… behind vehicle control is also critical with respect to adherence to traffic laws and defensive …
The vulnerability of semantic segmentation networks to adversarial attacks in autonomous driving: Enhancing extensive environment sensing
… the next major step in automotive technology, along with electromobility. An AD vehicle is
a highly … It is important to note that we applied both defense methods without any extensive …
a highly … It is important to note that we applied both defense methods without any extensive …
Resilient cooperative adaptive cruise control for autonomous vehicles using machine learning
… vehicle application that extends Adaptive Cruise Control by exploiting vehicle-to-vehicle (V2V) …
CACC is a crucial ingredient for numerous autonomous vehicle functionalities including …
CACC is a crucial ingredient for numerous autonomous vehicle functionalities including …
Intrusion detection system for platooning connected autonomous vehicles
D Kosmanos, A Pappas… - 2019 4th South-East …, 2019 - ieeexplore.ieee.org
… For example, a spoofing attack against the communication between CAVs could allow an
attacker to change the distance between autonomous vehicles within the platoon, disrupting …
attacker to change the distance between autonomous vehicles within the platoon, disrupting …