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 …

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 …

[PDF][PDF] A Novel Intrusion Detection Model of Unknown Attacks Using Convolutional Neural Networks.

A Alsaleh - Computer Systems Science & Engineering, 2024 - cdn.techscience.cn
With the increasing number of connected devices in the Internet of Things (IoT) era, the
number of intrusions is also increasing. An intrusion detection system (IDS) is a secondary …

CF-AIDS: Comprehensive Frequency-Agnostic Intrusion Detection System on In-Vehicle Network

MR Islam, M Sahlabadi, K Kim, Y Kim, K Yim - IEEE Access, 2023 - ieeexplore.ieee.org
Many studies have focused on obtaining high accuracy in the design of Intrusion Detection
Systems (IDS) for in-vehicle networks, neglecting the significance of different intensive …

Automotive Electric Power Steering Control with Robust Observer Based Neuroadaptive Type-2 Radial Basis Function Methodology

A Amirkhani, M Shirzadeh… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In this article, a simplified type-2 (ST2) radial basis function (RBF) based neuroadaptive
technique for controlling an automotive electric power steering (AEPS) system is designed …

Universal intrusion detection system on in-vehicle network

MR Islam, I Oh, K Yim - International Conference on Innovative Mobile and …, 2023 - Springer
Abstract The Controller Area Network (CAN) protocol is widely used in automotive and
industrial applications for communication. However, the lack of authentication and …

Trust, Privacy and Security for Smart Cities

Y Zhang, P Chatterjee, A Mukherjee - Sustainability, 2023 - mdpi.com
The world is currently at the dawn of a new era characterized by a global transformation
reshaping how we interact with our surroundings and each other. This global transformation …

An LSTM-Based Method for Automatic Reliability Prediction of Cognitive Radio Vehicular Ad Hoc Networks

S Bahramnejad, N Movahhedinia, A Naseri - SN Computer Science, 2024 - Springer
Reliability is a critical issue in vehicular networks. A deep learning (DL) method is proposed
in this study to automatically predict the reliability of cognitive radio vehicular networks (CR …

Inteligencia artificial aplicada a la seguridad y privacidad en las redes: revisión sistemática de la literatura según las directrices prisma

LM Bedoya Ocampo - 2024 - repository.ucc.edu.co
Resumen en español Los continuos avances en la tecnología, destinados a satisfacer las
demandas cambiantes de la sociedad actual, han sumergido a la humanidad en un entorno …