Federated graph neural network for fast anomaly detection in controller area networks

H Zhang, K Zeng, S Lin - IEEE Transactions on Information …, 2023 - ieeexplore.ieee.org
Due to the lack of CAN frame encryption and authentication, CAN bus is vulnerable to
various attacks, which can in general be divided into message injection, suspension, and …

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 developing autonomous vehicles such
as self-driving cars. In-vehicle communications, due to simplicity and reliability, a Controller …

Mlmg: Multi-local and multi-global model aggregation for federated learning

Y Qin, M Kondo - 2021 IEEE international conference on …, 2021 - ieeexplore.ieee.org
Federated learning has attracted much interest and attention as a solution to collaboratively
learn a prediction model without sharing the training data of users. Existing federated …

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 …

Deep contractive autoencoder-based anomaly detection for in-vehicle controller area network (CAN)

SF Lokman, AT Othman, S Musa… - Progress in Engineering …, 2019 - Springer
With the emerging wireless technology integrated into modern vehicles, this introduces an
enormous number of vulnerabilities for adversaries to compromise the vehicle internal …

Detection of message injection attacks onto the can bus using similarities of successive messages-sequence graphs

M Jedh, LB Othmane, N Ahmed… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The smart features of modern cars are enabled by a number of Electronic Control Units
(ECUs) components that communicate through an in-vehicle network, known as Controller …

Comparative study on supervised versus semi-supervised machine learning for anomaly detection of in-vehicle CAN network

Y Dong, K Chen, Y Peng, Z Ma - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is
crucial to the security of vehicle driving. One of the best standards for the in-vehicle network …

Detecting can bus intrusion by applying machine learning method to graph based features

RUD Refat, AA Elkhail, A Hafeez, H Malik - Intelligent Systems and …, 2022 - Springer
Modern vehicle is considered as a system vulnerable to attacks because it is connected to
the outside world via a wireless interface. Although, connectivity provides more convenience …

Signature-based intrusion detection system (IDS) for in-vehicle CAN bus network

S Jin, JG Chung, Y Xu - 2021 IEEE international symposium on …, 2021 - ieeexplore.ieee.org
In-vehicle CAN (Controller Area Network) bus network does not have any network security
protection measures, which is facing a serious network security threat. However, most of the …

Anomaly detection of CAN bus messages using a deep neural network for autonomous vehicles

A Zhou, Z Li, Y Shen - Applied Sciences, 2019 - mdpi.com
The in-vehicle controller area network (CAN) bus is one of the essential components for
autonomous vehicles, and its safety will be one of the greatest challenges in the field of …