[HTML][HTML] A survey of deep learning-based intrusion detection in automotive applications

B Lampe, W Meng - Expert Systems with Applications, 2023 - Elsevier
Modern automobiles depend on internal vehicle networks (IVNs) to control systems from the
anti-lock brakes to the transmission to the locks on the doors. Many IVNs, particularly the …

Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

A hybrid approach toward efficient and accurate intrusion detection for in-vehicle networks

L Zhang, D Ma - IEEE Access, 2022 - ieeexplore.ieee.org
With recent advancements in the automotive world and the introduction of autonomous
vehicles, automotive security has become a real and important issue. Modern vehicles have …

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 …

Intelligent intrusion detection for internet of things security: A deep convolutional generative adversarial network-enabled approach

Y Wu, L Nie, S Wang, Z Ning, S Li - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid advance of Internet of Things (IoT), it is difficult for cloud-centric computing to
meet the requirements of low latency and ease of use. As an open and distributed system …

Privacy and accuracy for cloud-fog-edge collaborative driver-vehicle-road relation graphs

Z Cui, Z Lu, LT Yang, J Yu, L Chi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There are three key roles in Intelligent Transportation Systems (ITS): driver, vehicle and
road. However, existing static interactions among Driver-Vehicle-Road (DVR) are too …

CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection

Q Zhao, M Chen, Z Gu, S Luan, H Zeng… - ACM Transactions on …, 2022 - dl.acm.org
The Controller Area Network (CAN) is a ubiquitous bus protocol present in the
Electrical/Electronic (E/E) systems of almost all vehicles. It is vulnerable to a range of attacks …

An Innovative Data Integrity Verification Scheme in the Internet of Things assisted information exchange in transportation systems

X Shen, Y Lu, Y Zhang, X Liu, L Zhang - Cluster Computing, 2022 - Springer
The internet of things-based transport networks allows consumers to share services from
storage to devices to access the internet to other users. Broadcast fundamental safety …

Essential technics of cybersecurity for intelligent connected vehicles: Comprehensive review and perspective

Y Shichun, Z Zheng, M Bin, Z Yifan… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Along with the promotion of intelligent connected vehicles (ICVs), the problems of network
attacks have rapidly increased, and thus the cybersecurity has drawn much attention …

[HTML][HTML] Canova: a hybrid intrusion detection framework based on automatic signal classification for can

A Nichelini, CA Pozzoli, S Longari, M Carminati… - Computers & …, 2023 - Elsevier
Over the years, vehicles have become increasingly complex and an attractive target for
malicious adversaries. This raised the need for effective and efficient Intrusion Detection …