[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 …

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) …

[HTML][HTML] A multi-layer intrusion detection system for SOME/IP-based in-vehicle network

F Luo, Z Yang, Z Zhang, Z Wang, B Wang, M Wu - Sensors, 2023 - mdpi.com
The automotive Ethernet is gradually replacing the traditional controller area network (CAN)
as the backbone network of the vehicle. As an essential protocol to solve service-based …

AERO: Automotive Ethernet Real-Time Observer for Anomaly Detection in In-Vehicle Networks

S Jeong, HK Kim, ML Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automotive Ethernet enables high-bandwidth in-vehicle networking, facilitating the
transmission of sensor data among electronic control units. However, the increasing …

[HTML][HTML] 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 …

A feature-aware semi-supervised learning approach for automotive ethernet

KH Shibly, MD Hossain, H Inoue… - … on Cyber Security …, 2023 - ieeexplore.ieee.org
The proliferation of devices aimed at enhancing vehicle and driver safety or providing
various services to drivers has resulted in a considerable amount of network traffic …

Multi-stage deep learning-based intrusion detection system for automotive ethernet networks

LFM da Luz, PF de Araujo-Filho, DR Campelo - Ad Hoc Networks, 2024 - Elsevier
Modern automobiles are increasing the demand for automotive Ethernet as a high-
bandwidth and flexible in-vehicle network technology. However, since Ethernet does not …

[PDF][PDF] Automotive Ethernet architecture and security: challenges and technologies.

W Toghuj, N Turab - International Journal of Electrical & Computer …, 2023 - core.ac.uk
Vehicle infrastructure must address the challenges posed by today's advances toward
connected and autonomous vehicles. To allow for more flexible architectures, high …

Sensor and Decision Fusion-based Intrusion Detection and Mitigation Approach for Connected Autonomous Vehicles

M Moradi, M Kordestani, M Jalali… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The safety of Connected and Autonomous Vehicle (CAV) depends on the security of in-
vehicle communication. The Controller Area Network (CAN) bus holds a crucial position in …