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 …

In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches

F Luo, J Wang, X Zhang, Y Jiang, Z Li, C Luo - PeerJ Computer Science, 2023 - peerj.com
Developments in connected and autonomous vehicle technologies provide drivers with
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …

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 …

GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus

R Islam, MK Devnath, MD Samad… - Vehicular …, 2022 - Elsevier
The national highway traffic safety administration (NHTSA) identified cybersecurity of the
automobile systems are more critical than the security of other information systems …

DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering

P Cheng, M Han, G Liu - Future Generation Computer Systems, 2023 - Elsevier
Controller area network (CAN) is a widely used communication protocol for in-vehicle
networks. With the up-gradation of traditional vehicle ad-hoc networks (VANETs) to the …

A survey on ai/ml-driven intrusion and misbehavior detection in networked autonomous systems: Techniques, challenges and opportunities

O Ajibuwa, B Hamdaoui, AA Yavuz - arXiv preprint arXiv:2305.05040, 2023 - arxiv.org
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs)
have shown great potential in identifying anomalies in the network traffic of networked …

Statistical detection of adversarial examples in blockchain-based federated forest in-vehicle network intrusion detection systems

I Aliyu, S Van Engelenburg, MB Mu'Azu, J Kim… - IEEE …, 2022 - ieeexplore.ieee.org
The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected
vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems …

In-Vehicle Network Intrusion Detection System Using CAN Frame-Aware Features

Y Jeong, H Kim, S Lee, W Choi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the advancement of connected and automated vehicles (CAVs), drivers now have
access to convenient features such as lane-keeping, cruise control, and more. The …

Multi-order feature interaction-aware intrusion detection scheme for ensuring cyber security of intelligent connected vehicles

W Gong, S Yang, H Guang, B Ma, B Zheng… - … Applications of Artificial …, 2024 - Elsevier
The evolution of technology has raised concerns regarding cybersecurity for intelligent
connected vehicles (ICVs). In-vehicle network in ICVs lacks robust protection mechanisms …

Network intrusion detection and prevention strategy with data encryption using hybrid detection classifier

C Pradeepthi, BU Maheswari - Multimedia Tools and Applications, 2024 - Springer
Advances in technology and communication have led to an increase in data and network
sizes. As a result, many intrusions (attacks) are created and pose more challenges to …