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 …

[HTML][HTML] In-vehicle communication cyber security: challenges and solutions

RS Rathore, C Hewage, O Kaiwartya, J Lloret - Sensors, 2022 - mdpi.com
In-vehicle communication has become an integral part of today's driving environment
considering the growing add-ons of sensor-centric communication and computing devices …

[HTML][HTML] Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy

G Karopoulos, G Kambourakis, E Chatzoglou… - Electronics, 2022 - mdpi.com
Breaches in the cyberspace due to cyber-physical attacks can harm the physical space, and
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …

Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures

H Chen, J Liu, J Wang, Y Xun - Vehicular Communications, 2023 - Elsevier
Abstract Intelligent Connected Vehicle (ICV), as the product of the deep integration of
automobile, electronics, information, and artificial intelligence in the era of 5G advanced and …

Distributional and spatial-temporal robust representation learning for transportation activity recognition

J Liu, Y Liu, W Zhu, X Zhu, L Song - Pattern Recognition, 2023 - Elsevier
Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …

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 …

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] Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders

TN Hoang, D Kim - Vehicular Communications, 2022 - Elsevier
With the development of autonomous vehicle technology, the controller area network (CAN)
bus has become the de facto standard for an in-vehicle communication system because of …

Towards smarter cyberthreats detection model for industrial Internet of Things (IIoT) 4.0

R Hajlaoui, T Moulahi, S Zidi, S El Khediri… - Journal of Industrial …, 2024 - Elsevier
Abstract Recently, Artificial Intelligence (AI) has been applied to the Internet of Things (IoT)
as well as Industrial IoT 4.0 (IIoT). This has improved the autonomous behavior of smart …

TOW-IDS: intrusion detection system based on three overlapped wavelets for automotive ethernet

ML Han, BI Kwak, HK Kim - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
Devices that ensure vehicle and driver safety or provide services to drivers generate a
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …