Intrusion detection system based on fast hierarchical deep convolutional neural network

RV Mendonça, AAM Teodoro, RL Rosa, M Saadi… - IEEE …, 2021 - ieeexplore.ieee.org
Currently, with the increasing number of devices connected to the Internet, search for
network vulnerabilities to attackers has increased, and protection systems have become …

Intrusion detection system using deep learning for in-vehicle security

J Zhang, F Li, H Zhang, R Li, Y Li - Ad Hoc Networks, 2019 - Elsevier
With the development of vehicle intelligence technology, the combination of network and
vehicle becomes inevitable, which brings much convenience to people. At the same time …

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 …

RANet: Network intrusion detection with group-gating convolutional neural network

X Zhang, F Yang, Y Hu, Z Tian, W Liu, Y Li… - Journal of Network and …, 2022 - Elsevier
With the rapid increase of human activities in cyberspace, various network intrusions are
tended to be frequent and hidden. Network intrusion detection (NID) has attracted more and …

[HTML][HTML] TCAN-IDS: intrusion detection system for internet of vehicle using temporal convolutional attention network

P Cheng, K Xu, S Li, M Han - Symmetry, 2022 - mdpi.com
Intrusion detection systems based on recurrent neural network (RNN) have been considered
as one of the effective methods to detect time-series data of in-vehicle networks. However …

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 …

Saiducant: Specification-based automotive intrusion detection using controller area network (can) timing

H Olufowobi, C Young, J Zambreno… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The proliferation of embedded devices in modern vehicles has opened the traditionally-
closed vehicular system to the risk of cybersecurity attacks through physical and remote …

A network intrusion detection method based on deep multi-scale convolutional neural network

X Wang, S Yin, H Li, J Wang, L Teng - International Journal of Wireless …, 2020 - Springer
Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

[HTML][HTML] A one-dimensional convolutional neural network (1D-CNN) based deep learning system for network intrusion detection

EUH Qazi, A Almorjan, T Zia - Applied Sciences, 2022 - mdpi.com
The connectivity of devices through the internet plays a remarkable role in our daily lives.
Many network-based applications are utilized in different domains, eg, health care, smart …

[HTML][HTML] Cyber attack detection for self-driving vehicle networks using deep autoencoder algorithms

FW Alsaade, MH Al-Adhaileh - Sensors, 2023 - mdpi.com
Connected and autonomous vehicles (CAVs) present exciting opportunities for the
improvement of both the mobility of people and the efficiency of transportation systems. The …