Machine learning for security in vehicular networks: A comprehensive survey

A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey

A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …

Machine learning-driven optimization for intrusion detection in smart vehicular networks

A Alsarhan, AR Al-Ghuwairi, IT Almalkawi… - Wireless Personal …, 2021 - Springer
An essential element in the smart city vision is providing safe and secure journeys via
intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a …

Future intelligent and secure vehicular network toward 6G: Machine-learning approaches

F Tang, Y Kawamoto, N Kato, J Liu - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset

AR Gad, AA Nashat, TM Barkat - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent
transportation system (ITS) that enables vehicles to communicate over the wireless …

Ton-iot: Detection of attacks on internet of things in vehicular networks

A Sharma, H Babbar, A Sharma - 2022 6th International …, 2022 - ieeexplore.ieee.org
During the recent era, due to the exponential rise in the Internet of things (IoT) enabled
devices around the globe, IoT and Machine learning (ML) has come out as usable and …

[HTML][HTML] Cybersecurity challenges in vehicular communications

Z El-Rewini, K Sadatsharan, DF Selvaraj… - Vehicular …, 2020 - Elsevier
As modern vehicles are capable to connect to an external infrastructure and Vehicle-to-
Everything (V2X) communication technologies mature, the necessity to secure …

Securing vehicular communications

M Raya, P Papadimitratos… - IEEE wireless …, 2006 - ieeexplore.ieee.org
The road to a successful introduction of vehicular communications has to pass through the
analysis of potential security threats and the design of a robust security architecture able to …

Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey

M Dibaei, X Zheng, Y Xia, X Xu, A Jolfaei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With recent developments in communication technologies, vehicular networks have become
a reality with various applications. However, the cybersecurity aspect of vehicular networks …

Machine learning for vehicular networks: Recent advances and application examples

H Ye, L Liang, GY Li, JB Kim, L Lu… - ieee vehicular …, 2018 - ieeexplore.ieee.org
The emerging vehicular networks are expected to make everyday vehicular operation safer,
greener, and more efficient and pave the path to autonomous driving in the advent of the fifth …