Multi-sensors space and time dimension based intrusion detection system in automated vehicles

L Wang, X Zhang, D Li, H Liu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Recent developments in intelligence technologies have led to an explosion in the use of
connected and automated vehicles (CAVs). Unfortunately, these autonomous vehicles face …

STC‐IDS: Spatial–temporal correlation feature analyzing based intrusion detection system for intelligent connected vehicles

P Cheng, M Han, A Li, F Zhang - International Journal of …, 2022 - Wiley Online Library
Intrusion detection is an important defensive measure for automotive communications
security. Accurate frame detection models assist vehicles to avoid malicious attacks …

Deep learning-based anomaly detection for connected autonomous vehicles using spatiotemporal information

P Mansourian, N Zhang, A Jaekel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although connected mymargin autonomous vehicles (CAVs) hold great potential to improve
driving safety and experience significantly, cybersecurity remains a critical concern. As the …

Exploiting consistency among heterogeneous sensors for vehicle anomaly detection

A Ganesan, J Rao, K Shin - 2017 - sae.org
Modern vehicles house many advanced components; sensors and Electronic Control Units
(ECUs)—now numbering in the 100s. These components provide various advanced safety …

Cvmids: Cloud-vehicle collaborative intrusion detection system for internet-of-vehicles

J Qin, Y Xun, J Liu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
As the evolution of 3GPP specification and the deployment of 5G network, Internet of
Vehicles (IoVs) boom fireworks. However, its attack surface is expanded with the increased …

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 …

A deep learning-based intrusion detection system for in-vehicle networks

H Alqahtani, G Kumar - Computers and Electrical Engineering, 2022 - Elsevier
Modern vehicles are increasingly getting connected within the vehicles, with other systems,
leading to more concerns about security. Controller area network (CAN) has become a de …

MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles

L Yang, A Moubayed, A Shami - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …

Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network

R Hu, Z Wu, Y Xu, T Lai - Scientific Reports, 2022 - nature.com
With the development of Internet of vehicles, the information exchange between vehicles
and the outside world results in a higher risk of external network attacks to the vehicles. The …

SAIDuCANT: Specification-based automotive intrusion detection using controller area network (CAN) timing

H Olufowobi, C Young, J Zambreno… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The proliferation of embedded devices in modern vehicles has opened the traditionally-
closed vehicular system to the risk of cybersecurity attacks through physical and remote …