Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence

G Bendiab, A Hameurlaine, G Germanos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …

Secure operations of connected and autonomous vehicles

J Han, Z Ju, X Chen, M Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With features of collaborative interaction and autonomous decision-making, connected and
autonomous vehicles (CAVs) offer a viable solution for a sustainable and efficient future of …

Quantitative analysis of worm transmission and insider risks in air-gapped networking using a novel machine learning approach

M Sulaiman, A Khan, AN Ali, G Laouini… - Ieee …, 2023 - ieeexplore.ieee.org
Researchers and practitioners in the fields of science and engineering encounter significant
challenges when it comes to mitigating the proliferation of computer worms, owing to their …

Security threats in intelligent transportation systems and their risk levels

B Zeddini, M Maachaoui, Y Inedjaren - Risks, 2022 - mdpi.com
Intelligent Transport Systems (ITSs) are part of road transportation sector evolution and
constitute one of the main steps towards vehicle automation. These systems use …

Modeling and analyzing malware propagation over wireless networks based on hypergraphs

J Chen, S Sun, C Xia, D Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Malware posts an increasing threat to the security of cyberspace, given the growing
popularity of wireless networks. In this article, we propose a hypergraph-based model to …

Malware spreading model for routers in Wi-Fi networks

DT Le, TT Tran, KQ Dang, R Alkanhel… - IEEE Access, 2022 - ieeexplore.ieee.org
Malware attacks have become very common in recent years. The variety and continuous
improvement of malware capabilities threaten any network. Wi-Fi is also not an exception in …

Fractional-Order Optimal Control and FIOV-MASAC Reinforcement Learning for Combating Malware Spread in Internet of Vehicles

G Liu, H Li, L Xiong, Z Tan, Z Liang… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is gradually becoming popular, but it also brings more
opportunities for malware intrusion. The intrusion of malware into IoV will cause a series of …

Multimodal feature-assisted continuous driver behavior analysis and solving for edge-enabled internet of connected vehicles using deep learning

O Aboulola, M Khayyat, B Al-Harbi, MSA Muthanna… - Applied Sciences, 2021 - mdpi.com
The emerging technology of internet of connected vehicles (IoCV) introduced many new
solutions for accident prevention and traffic safety by monitoring the behavior of drivers. In …

[HTML][HTML] Performance comparison between delay-tolerant and non-delay-tolerant position-based routing protocols in VANETs

AM Abdalla, SH Salamah - International Journal of Communications …, 2022 - scirp.org
Vehicular ad hoc networks (VANETs) are a new emerging recently developed advanced
technology that allows a wide group of applications related to providing more safety on …

From da Vinci to cybersecurity: tracing the evolution of autonomous vehicles and ensuring safe platooning operations

N Hussein - Discover Mechanical Engineering, 2024 - Springer
Abstract Since Leonardo da Vinci's creation of a self-propelled cart in the 1500s (Palmer. in
Significant figures in world history p. 75--7, 2018), the evolution of Autonomous Vehicles …