Ai-based intrusion detection systems for in-vehicle networks: A survey

S Rajapaksha, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …

Security on in-vehicle communication protocols: Issues, challenges, and future research directions

A Martínez-Cruz, KA Ramírez-Gutiérrez… - Computer …, 2021 - Elsevier
The automotive industry has represented an important sector of industrial development
worldwide. With technology growth, vehicles have been equipped with various devices that …

AI empowered communication systems for intelligent transportation systems

Z Lv, R Lou, AK Singh - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Intelligent control of traffic has significant influence on the scheduling efficiency of urban
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …

A many-objective optimization based intelligent intrusion detection algorithm for enhancing security of vehicular networks in 6G

Z Zhang, Y Cao, Z Cui, W Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With accelerated ensemble of the Internet of Things technology and automotive industry,
vehicular network has been established as powerful tools. However, it is a significant …

A survey of attacks on controller area networks and corresponding countermeasures

HJ Jo, W Choi - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The development of vehicle technologies such as connected and autonomous vehicle
environments provide drivers with functions for convenience and safety that are highly …

[HTML][HTML] A novel cyber-risk assessment method for ship systems

V Bolbot, G Theotokatos, E Boulougouris, D Vassalos - Safety Science, 2020 - Elsevier
Recent advances in the maritime industry include research and development of new
sophisticated ships with a number of smart functionalities and enhanced autonomy. The new …

A systematic survey of attack detection and prevention in connected and autonomous vehicles

T Limbasiya, KZ Teng, S Chattopadhyay… - Vehicular …, 2022 - Elsevier
The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …

[HTML][HTML] Security issues with in-vehicle networks, and enhanced countermeasures based on blockchain

N Khatri, R Shrestha, SY Nam - Electronics, 2021 - mdpi.com
Modern vehicles are no longer simply mechanical devices. Connectivity between the
vehicular network and the outside world has widened the security holes that hackers can …

Analysis of recent deep-learning-based intrusion detection methods for in-vehicle network

K Wang, A Zhang, H Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …

[HTML][HTML] TCAN-IDS: intrusion detection system for internet of vehicle using temporal convolutional attention network

P Cheng, K Xu, S Li, M Han - Symmetry, 2022 - mdpi.com
Intrusion detection systems based on recurrent neural network (RNN) have been considered
as one of the effective methods to detect time-series data of in-vehicle networks. However …