[PDF][PDF] Intrusion Detection for In-Vehicle CAN Communication Using Deep Neural Networks

F Sundfeldt, B Widstam - 2024 - lup.lub.lu.se
As the automotive industry progresses with the development of connected vehicles, this
digital evolution comes with inherent cyber security risks and thus securing vehicle …

[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 …

[PDF][PDF] CAN-MIRGU: A Comprehensive CAN Bus Attack Dataset from Moving Vehicles for Intrusion Detection System Evaluation

S Rajapaksha, G Madzudzo… - Symposium on …, 2024 - ndss-symposium.org
The Controller Area Network (CAN Bus) has emerged as the de facto standard for in-vehicle
communication. However, the CAN bus lacks security features, such as encryption and …

Intrusion detection with deep learning for in-vehicle networks

N Al-Khatib - 2023 - theses.hal.science
In-vehicle communication which refers to the communication and exchange of data between
embedded automotive devices plays a crucial role in the development of intelligent …

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 …

In-vehicle network intrusion detection using deep convolutional neural network

HM Song, J Woo, HK Kim - Vehicular Communications, 2020 - Elsevier
The implementation of electronics in modern vehicles has resulted in an increase in attacks
targeting in-vehicle networks; thus, attack detection models have caught the attention of the …

[PDF][PDF] Vehicular Communications

HM Song, J Woo, Y Chung - 2019 - researchgate.net
The implementation of electronics in modern vehicles has resulted in an increase in attacks
targeting invehicle networks; thus, attack detection models have caught the attention of the …

CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level

MH Shahriar, Y Xiao, P Moriano… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Modern vehicles rely on a fleet of electronic control units (ECUs) connected through
controller area network (CAN) buses for critical vehicular control. With the expansion of …

[PDF][PDF] In-Vehicle Network Attack Detection Using Deep Neural Networks Trained On Features Extracted From CAN Data

KD Araya - 2022 - naist.repo.nii.ac.jp
Abstract Advanced Electronic Control Units (ECU) have been included in automobiles in
recent years to ensure safe and comfortable driving. Unlike in the past, when ECUs were …

Candito: improving payload-based detection of attacks on controller area networks

S Longari, CA Pozzoli, A Nichelini, M Carminati… - … Symposium on Cyber …, 2023 - Springer
Over the years, the increasingly complex and interconnected vehicles raised the need for
effective and efficient Intrusion Detection Systems against on-board networks. In light of the …