Machine Learning-Based Intrusion Detection System for Automotive Ethernet: Detecting Cyber-Attacks with a Low-Cost Platform

PRX Carmo, PF de Araujo-Filho… - Anais do XL Simpósio …, 2022 - sol.sbc.org.br
Automotive Ethernet is being adopted in vehicles to provide the larger throughput that is
required by autonomous vehicles. However, these vehicles may be subject to several cyber …

Multi-Criteria Optimized Deep Learning-based Intrusion Detection System for Detecting Cyberattacks in Automotive Ethernet Networks

LFM da Luz, PF de Araujo-Filho… - Anais do XLI Simpósio …, 2023 - sol.sbc.org.br
Connected and autonomous vehicles (CAVs) are part of the Internet of Things, exposing
them to cyberattacks. CAVs comprise several systems, such as advanced driver assistance …

Multi-Stage Deep Learning-Based Intrusion Detection System for Automotive Ethernet Networks

LF Marques da Luz, P Freitas de Araujo-Filho… - Available at SSRN … - papers.ssrn.com
Modern automobiles are increasing the demand for automotive Ethernet as a high-
bandwidth and flexible in-vehicle network technology. However, since Ethernet does not …

Multi-stage deep learning-based intrusion detection system for automotive ethernet networks

LFM da Luz, PF de Araujo-Filho, DR Campelo - Ad Hoc Networks, 2024 - Elsevier
Modern automobiles are increasing the demand for automotive Ethernet as a high-
bandwidth and flexible in-vehicle network technology. However, since Ethernet does not …

Convolutional neural network-based intrusion detection system for AVTP streams in automotive Ethernet-based networks

S Jeong, B Jeon, B Chung, HK Kim - Vehicular Communications, 2021 - Elsevier
Connected and autonomous vehicles (CAVs) are an innovative form of traditional vehicles.
Automotive Ethernet replaces the controller area network and FlexRay to support the large …

Deep learning-based intrusion detection system for internet of vehicles

I Ahmed, G Jeon, A Ahmad - IEEE Consumer Electronics …, 2021 - ieeexplore.ieee.org
The growth of the Internet of Things (IoT) has resulted in several revolutionary applications,
such as smart cities, cyber-physical systems, and the Internet of vehicles (IoV). Within the IoV …

Attacks to automatous vehicles: A deep learning algorithm for cybersecurity

THH Aldhyani, H Alkahtani - Sensors, 2022 - mdpi.com
Rapid technological development has changed drastically the automotive industry. Network
communication has improved, helping the vehicles transition from completely machine-to …

VNGuard: Intrusion Detection System for In-Vehicle Networks

YL Aung, S Wang, W Cheng, S Chattopadhyay… - … on Information Security, 2023 - Springer
Recently, autonomous and connected vehicles have gained popularity, revolutionizing
consumer mobility. On the other hand, they are also becoming new targets exposing new …

Unsupervised network intrusion detection system for AVTP in automotive Ethernet networks

N Alkhatib, M Mushtaq, H Ghauch… - 2022 IEEE intelligent …, 2022 - ieeexplore.ieee.org
Network Intrusion Detection Systems (NIDSs) are widely regarded as efficient tools for
securing in-vehicle networks against diverse cyberattacks. However, since cyberattacks are …

TOW-IDS: intrusion detection system based on three overlapped wavelets for automotive ethernet

ML Han, BI Kwak, HK Kim - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
Devices that ensure vehicle and driver safety or provide services to drivers generate a
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …