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 …

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 …

Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model

Y Wu, L Yang, L Zhang, L Nie… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are vulnerable to network attacks. Designing an effective
intrusion detection system (IDS) for UAVs is crucial. However, UAVs have limited computing …

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 …

iDetector: A Novel Real-Time Intrusion Detection Solution for IoT Networks

X Kong, Y Zhou, Y Xiao, X Ye, H Qi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The rapid proliferation of IoT devices has brought about unprecedented convenience to
people's daily lives. However, this growth has also created opportunities for hackers to …

VNGuard: Intrusion Detection System for In-Vehicle Networks

YL Aung, S Wang, W Cheng, S Chattopadhyay… - … on Information Security, 2023 - Springer
Recently, autonomous and connected vehicles have gained popularity, revolutionizing
consumer mobility. On the other hand, they are also becoming new targets exposing new …

A Framework for the Systematic Assessment of Anomaly Detectors in Time-Sensitive Automotive Networks

P Meyer, T Häckel, T Lübeck, F Korf… - arXiv preprint arXiv …, 2024 - arxiv.org
Connected cars are susceptible to cyberattacks. Security and safety of future vehicles highly
depend on a holistic protection of automotive components, of which the time-sensitive …

A Zero False Positive Rate of IDS Based on Swin Transformer for Hybrid Automotive In-Vehicle Networks

S Wang, H Zhou, H Zhao, Y Wang, A Cheng, J Wu - Electronics, 2024 - mdpi.com
Software-defined vehicles (SDVs) make automotive systems more intelligent and adaptable,
and this transformation relies on hybrid automotive in-vehicle networks that refer to multiple …

Data-Driven Solutions for Next-Generation Automotive Cybersecurity

S Koduru, SP Machina, S Madichetty… - Transactions of the Indian …, 2024 - Springer
As automotive systems increasingly rely on Ethernet for communication, detecting cyber-
attacks on Automotive Ethernet networks becomes crucial to ensure vehicle safety and …