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 …

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 …

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 …

CAN-ADF: The controller area network attack detection framework

S Tariq, S Lee, HK Kim, SS Woo - Computers & Security, 2020 - Elsevier
In recent years, there has been significant interest in develo** autonomous vehicles such
as self-driving cars. In-vehicle communications, due to simplicity and reliability, a Controller …

Internet of things meets vehicles: Sheltering in-vehicle network through lightweight machine learning

J **ao, H Wu, X Li - Symmetry, 2019 - mdpi.com
An internet of vehicles allows intelligent automobiles to interchange messages with other
cars, traffic management departments, and data analysis companies about vehicle …

Intrusion detection in vehicle controller area network (can) bus using machine learning: A comparative performance study

BS Bari, K Yelamarthi, S Ghafoor - Sensors, 2023 - mdpi.com
Electronic Control Units (ECUs) have been increasingly used in modern vehicles to control
the operations of the vehicle, improve driving comfort, and safety. For the operation of the …

Intrusion Detecting System Based on Temporal Convolutional Network for In‐Vehicle CAN Networks

D Shi, M Xu, T Wu, L Kou - Mobile Information Systems, 2021 - Wiley Online Library
In recent years, deep learning theories, such as Recurrent Neural Networks (RNN) and
Convolutional Neural Networks (CNN), have been applied as effective methods for intrusion …

Towards an awareness of time series anomaly detection models' adversarial vulnerability

S Tariq, BM Le, SS Woo - Proceedings of the 31st ACM International …, 2022 - dl.acm.org
Time series anomaly detection is extensively studied in statistics, economics, and computer
science. Over the years, numerous methods have been proposed for time series anomaly …

Intrusion detection system using artificial intelligence for internal messages of robotic cars

NA Hamad, KMA Alheeti, SS Al-Rawi - AIP Conference Proceedings, 2022 - pubs.aip.org
Modern cars have evidenced to be susceptible to attacks by security researchers through
physical and remote access to the cars' internal network. They can access a Controller Area …