DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering

P Cheng, M Han, G Liu - Future Generation Computer Systems, 2023 - Elsevier
Controller area network (CAN) is a widely used communication protocol for in-vehicle
networks. With the up-gradation of traditional vehicle ad-hoc networks (VANETs) to the …

GDENet: graph differential equation network for traffic flow prediction

Y Miao, X Tang, Q Wang, L Yu - International Journal of …, 2023 - Wiley Online Library
The accurate prediction of traffic flow is paramount for the advancement of intelligent
transportation systems. Despite this, current prediction models only account for either …

Anomaly Detection for In-Vehicle Network Using Self-Supervised Learning With Vehicle-Cloud Collaboration Update

J Cao, X Di, X Liu, J Li, Z Li, L Zhao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the increasing communications between the In-Vehicle Networks (IVNs) and external
networks, security has become a stringent problem. In addition, the controller area network …

LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive

P Cheng, L Hua, H Jiang, G Liu - Peer-to-Peer Networking and …, 2024 - Springer
Abstract Controller Area Network (CAN) is increasing connectivity to the external
environment for intelligent interconnection in autonomous vehicles, as well as posing …

[HTML][HTML] Security strategy for autonomous vehicle cyber-physical systems using transfer learning

AA Alsulami, QA Al-Haija, B Alturki, A Alqahtani… - Journal of Cloud …, 2023 - Springer
Cyber-physical systems (CPSs) are emergent systems that enable effective real-time
communication and collaboration (C&C) of physical components such as control systems …

A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection

J Xiao, H Chen, F Zhong - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
As various intelligent networked devices are increasingly introduced and applied or
connected to modern vehicles, the services and functions of vehicles with controller area …

A Novel Constructive Unceasement Conditional Random Field and Dynamic Bayesian Network Model for Attack Prediction on Internet of Vehicle

RK Mahendran, S Rajendran, P Pandian… - IEEE …, 2024 - ieeexplore.ieee.org
Today's Internet of Vehicles (IoV) has soared by leveraging data gathered from
transportation systems, yet it grapples with security concerns stemming from network …

Intrusion Detection for Intelligent Connected Vehicles based on Bidirectional Temporal Convolutional Network

Y Mei, W Han, K Lin - IEEE Network, 2024 - ieeexplore.ieee.org
Intelligent Connected Vehicles (ICVs) are increasingly prevalent, with various applications
and systems operating in complex network environments. Consequently, detecting and …

MKF-ADS: A Multi-Knowledge Fused Anomaly Detection System for Automotive

P Cheng, Z Wu, G Liu - arXiv preprint arXiv:2403.04293, 2024 - arxiv.org
With the requirements of Intelligent Transport Systems (ITSs) for extensive connectivity of
Electronic Control Units (ECUs) to the outside world, safety and security have become …

LSF-IDM: Lightweight Deep Learning Models for Automotive Intrusion Detection Model Based on Semantic Fusion

P Cheng, L Hua, H Jiang, M Samie, G Liu - arXiv preprint arXiv …, 2023 - arxiv.org
Autonomous vehicles (AVs) are more vulnerable to network attacks due to the high
connectivity and diverse communication modes between vehicles and external networks …