Sustainable and lightweight domain-based intrusion detection system for in-vehicle network
Intelligent transportation systems are designed to enhance and optimize the traffic flow,
safety of urban mobility, and improve energy efficiency. While advanced vehicles are …
safety of urban mobility, and improve energy efficiency. While advanced vehicles are …
MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …
involve many electronic control units connected through intravehicle networks (IVNs) to …
A transfer learning and optimized CNN based intrusion detection system for Internet of Vehicles
Modern vehicles, including autonomous vehicles and connected vehicles, are increasingly
connected to the external world, which enables various functionalities and services …
connected to the external world, which enables various functionalities and services …
A novel intrusion detection system for next generation in-vehicle networks
As emerging technologies such as mobile communication, vehicle to everything, and
artificial intelligence are widely used in intelligent connected vehicles, drivers can gain a …
artificial intelligence are widely used in intelligent connected vehicles, drivers can gain a …
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 …
consumer mobility. On the other hand, they are also becoming new targets exposing new …
Internet of vehicles: A study and comparison of machine learning and deep learning-based intrusion detection approaches
H Sinha, R Tripathi - AIP Conference Proceedings, 2023 - pubs.aip.org
The Internet of Vehicles (IoV) is a prominent Internet of Things (IoT) application in the area of
transportation that intends to create an integrated intelligent transportation system to …
transportation that intends to create an integrated intelligent transportation system to …
Analysis of recent deep-learning-based intrusion detection methods for in-vehicle network
K Wang, A Zhang, H Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …
risks to the in-vehicle networks security. As a result, an increasing number of various and …
Machine learning for intrusion detection systems in autonomous transportation
E Gherbi - 2021 - inria.hal.science
Despite all the different technological innovations and advances in the automotive field,
autonomous vehicles are still in the testing phase. Many actors are working on several …
autonomous vehicles are still in the testing phase. Many actors are working on several …
Research on Vehicular External Network Intrusion Detection System Based on Ensemble Learning
Q Liu, W Bao, Q Liu - 2023 IEEE 98th Vehicular Technology …, 2023 - ieeexplore.ieee.org
With the development of the Internet of Vehicles (IoV), the combination of networks and
vehicles has brought great convenience to people. However, hackers can attack vehicles …
vehicles has brought great convenience to people. However, hackers can attack vehicles …
[HTML][HTML] 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 …
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …