A comprehensive survey of v2x cybersecurity mechanisms and future research paths

R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …

A comprehensive review on limitations of autonomous driving and its impact on accidents and collisions

A Chougule, V Chamola, A Sam… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
The emergence of autonomous driving represents a pivotal milestone in the evolution of the
transportation system, integrating seamlessly into the daily lives of individuals due to its …

Role of machine learning and deep learning in securing 5G-driven industrial IoT applications

P Sharma, S Jain, S Gupta, V Chamola - Ad Hoc Networks, 2021 - Elsevier
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …

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 …

NovelADS: A novel anomaly detection system for intra-vehicular networks

K Agrawal, T Alladi, A Agrawal… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Modern vehicular electronics is a complex system of multiple Electronic Control Units
(ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate …

[HTML][HTML] Vehicular network intrusion detection using a cascaded deep learning approach with multi-variant metaheuristic

A Manderna, S Kumar, U Dohare, M Aljaidi… - Sensors, 2023 - mdpi.com
Vehicle malfunctions have a direct impact on both human and road safety, making vehicle
network security an important and critical challenge. Vehicular ad hoc networks (VANETs) …

Parallel surfaces: Service-oriented V2X communications for autonomous vehicles

S Han, FY Wang, G Luo, L Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The application of reconfigurable intelligent surfacess (RIS) in the Internet of Vehicles (IoV)
is rapidly progressing, with a focus on intelligent signal manipulation, adaptive channel …

[HTML][HTML] A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems

T Alladi, V Kohli, V Chamola, FR Yu - Digital Communications and …, 2023 - Elsevier
With the rise of the Internet of Vehicles (IoV) and the number of connected vehicles
increasing on the roads, Cooperative Intelligent Transportation Systems (C-ITSs) have …

[HTML][HTML] Federated learning for intrusion detection systems in internet of vehicles: a general taxonomy, applications, and future directions

J Alsamiri, K Alsubhi - Future Internet, 2023 - mdpi.com
In recent years, the Internet of Vehicles (IoV) has garnered significant attention from
researchers and automotive industry professionals due to its expanding range of …

Intelligent intrusion detection algorithm based on multi-attack for edge-assisted internet of things

S Shitharth, GB Mohammed, J Ramasamy… - Security and risk analysis …, 2023 - Springer
The security concerns surrounding edge computing have been in the forefront as the
technology has become increasingly popular. There is a larger need to move computations …