DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

MH Khan, AR Javed, Z Iqbal, M Asim, AI Awad - Computers & Security, 2024 - Elsevier
The controller area network (CAN) protocol is a critical communication mechanism in
vehicular systems. However, the widespread adoption of this protocol has introduced …

CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU

AR Javed, S Ur Rehman, MU Khan… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Controller area network (CAN) is a communication protocol that provides reliable and
productive transmission between in-vehicle nodes continuously. CAN bus protocol is …

CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network

S Tariq, S Lee, SS Woo - Proceedings of the 35th annual ACM …, 2020 - dl.acm.org
In-vehicle communications, due to simplicity and reliability, a Controller Area Network (CAN)
bus is widely used as the de facto standard to provide serial communications between …

CANPerFL: improve in-vehicle intrusion detection performance by sharing knowledge

TN Hoang, MR Islam, K Yim, D Kim - Applied Sciences, 2023 - mdpi.com
The Controller Area Network (CAN) is a widely used communication protocol in
automobiles, but it is vulnerable to various types of attacks. To address this issue …

An Effective Ensemble Learning-Based Real-Time Intrusion Detection Scheme for an In-Vehicle Network

E Alalwany, I Mahgoub - Electronics, 2024 - mdpi.com
The emergence of connected and autonomous vehicles has led to complex network
architectures for electronic control unit (ECU) communication. The controller area network …

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 …

Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks

M Almehdhar, A Albaseer, MA Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …

Machine learning-based intrusion detection system for controller area networks

O Minawi, J Whelan, A Almehmadi… - Proceedings of the 10th …, 2020 - dl.acm.org
The automotive industry continues to innovate at an exponential rate to provide a safer and
more efficient experience for consumers. Autonomous vehicles and Vehicle-to-Everything …

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 …

Comparative performance evaluation of intrusion detection based on machine learning in in-vehicle controller area network bus

T Moulahi, S Zidi, A Alabdulatif, M Atiquzzaman - IEEE Access, 2021 - ieeexplore.ieee.org
Communication between the nodes in a vehicle is performed using many protocols. The
most common of these is known as the Controller Area Network (CAN). The functionality of …