Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
[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 …
Everything (V2X) communication technologies mature, the necessity to secure …
A review on IEEE 802.11 p for intelligent transportation systems
Road safety is an active area of research for the automotive industry, and certainly one of
ongoing interest to governments around the world. The intelligent transportation system …
ongoing interest to governments around the world. The intelligent transportation system …
Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …
safety and reduced energy consumption, pollution, and congestion. However, these engines …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
A survey on the current security landscape of intelligent transportation systems
With the proliferation of embedded technologies and wireless capabilities, today's vehicles
are no longer isolated mechanical machines. They become part of a hyper-connected …
are no longer isolated mechanical machines. They become part of a hyper-connected …
Hybrid optimization enabled trust-based secure routing with deep learning-based attack detection in VANET
G Kaur, D Kakkar - Ad Hoc Networks, 2022 - Elsevier
Vehicular ad-hoc network (VANET) model is easy to arrange and inexpensive answer for
clever traffic control and traffic failure protective measures. Generally, the nodes present in …
clever traffic control and traffic failure protective measures. Generally, the nodes present in …
An adaptive real-time malicious node detection framework using machine learning in vehicular ad-hoc networks (VANETs)
Modern vehicle communication development is a continuous process in which cutting-edge
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
Deep reinforcement learning for blockchain in industrial IoT: A survey
With the ambitious plans of renewal and expansion of industrialization in many countries,
the efficiency, agility and cost savings potentially resulting from the application of industrial …
the efficiency, agility and cost savings potentially resulting from the application of industrial …
Collaborative learning based sybil attack detection in vehicular ad-hoc networks (vanets)
Vehicular Ad-hoc network (VANET) is an imminent technology having both exciting
prospects and substantial challenges, especially in terms of security. Due to its distributed …
prospects and substantial challenges, especially in terms of security. Due to its distributed …