Results 81 to 90 of about 1,391 (194)

LIMA: Local and Lightweight Mutual Authentication for VANETs

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This work presents LIMA, a lightweight local authentication protocol for VANETs. It is a SAE J2735 compliant certificateless vehicle authentication that eliminates traditional PKI dependencies while providing geographic zone‐based security and time‐based attribute control.
Munkenyi Mukhandi   +2 more
wiley   +1 more source

A Stochastic Geometry Framework for Enhancing Communication Efficiency and Road Safety in Connected and Autonomous Vehicles

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper introduces a stochastic geometry‐based analytical framework to evaluate and enhance communication reliability and road safety in connected autonomous vehicles (CAVs). By modeling roads using Poisson Line Processes and vehicle distributions with Poisson Point Processes, the framework enables accurate assessment of key performance metrics like
Anjum Mohd Aslam   +2 more
wiley   +1 more source

Opportunities for Intelligent Reflecting Surfaces in 6G Empowered V2X Communications [PDF]

open access: yes
The applications of upcoming sixth-generation (6G) empowered vehicle-to-everything (V2X) communications depend heavily on large-scale data exchange with high throughput and ultra-low latency to ensure system reliability and passenger safety.
Ranjha, Ali   +19 more
core   +1 more source

Challenges and Opportunities of Named Data Networking in Vehicle-To-Everything Communication: A Review

open access: yesInformation, 2018
Many car manufacturers have recently proposed to release autonomous self-driving cars within the next few years. Information gathered by sensors (e.g., cameras, GPS, lidar, radar, ultrasonic) enable cars to drive autonomously on roads.
Benjamin Rainer, Stefan Petscharnig
doaj   +1 more source

Risk‐Aware Federated Hierarchical Reinforcement Learning for cooperative CAV Safety in Intelligent Transportation System

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper introduces a deep reinforcement learning based framework that helps improve safety in avoiding collisions. The framework is developed through five clear phases and tested using the Udacity Self‐Driving Car Dataset. The results show that it can make autonomous driving safer and more reliable in changing road conditions.
Abuzar Khan   +5 more
wiley   +1 more source

Cyber security standards and issues in V2X communications for Internet of Vehicles [PDF]

open access: yes, 2018
Significant developments have taken place over the past few years in the area of vehicular communication systems in the ITS environment. It is vital that, in these environments, security is considered in design and implementation since compromised ...
Maple, Carsten   +7 more
core   +1 more source

Safeguarding the V2X Pathways: Exploring the Cybersecurity Landscape Through Systematic Review

open access: yesIEEE Access
Vehicle-to-Everything (V2X) communication, essential for enhancing road safety, driving efficiency, and traffic management, must be robust against cybersecurity threats for successful deployment and acceptance.
Kevin Herman Muraro Gularte   +11 more
doaj   +1 more source

A Survey of Vehicle to Everything (V2X) Testing

open access: yesSensors, 2019
Vehicle to everything (V2X) is a new generation of information and communication technologies that connect vehicles to everything. It not only creates a more comfortable and safer transportation environment, but also has much significance for improving ...
Jian Wang   +3 more
doaj   +1 more source

Security Challenges and Solutions in Self‐Driving Vehicles: A Comprehensive Review

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a comprehensive review of cybersecurity challenges and solutions in self‐driving vehicles, focusing on threats across vehicular communication, sensors, artificial intelligence (AI) systems, and data privacy. It categorises attacks based on autonomous vehicle architecture layers and highlights advanced countermeasures such as AI ...
Yaw Opoku Mensah Sekyere   +2 more
wiley   +1 more source

An AI–Blockchain‐Based Network Optimization Framework for Energy‐Efficient Computing Systems

open access: yesIET Networks, Volume 15, Issue 1, January/December 2026.
This paper presents AIBLOCK, an AI–blockchain‐based network optimisation framework that enables energy‐efficient and self‐optimising operation in large‐scale distributed computing networks. By integrating multi‐agent reinforcement learning with real‐time blockchain telemetry, the framework adaptively adjusts consensus parameters such as the block size,
Udit Mamodiya   +4 more
wiley   +1 more source

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