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 …
[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 …
A deep learning-based intrusion detection system for in-vehicle networks
H Alqahtani, G Kumar - Computers and Electrical Engineering, 2022 - Elsevier
Modern vehicles are increasingly getting connected within the vehicles, with other systems,
leading to more concerns about security. Controller area network (CAN) has become a de …
leading to more concerns about security. Controller area network (CAN) has become a de …
Unsupervised deep learning approach for in-vehicle intrusion detection system
H Narasimhan, V Ravi… - IEEE Consumer …, 2021 - ieeexplore.ieee.org
The controller area network (CAN) is a standard communication protocol used for sending
messages between electronic control unit of a modern automotive system. CAN protocol …
messages between electronic control unit of a modern automotive system. CAN protocol …
[HTML][HTML] A survey of deep learning-based intrusion detection in automotive applications
Modern automobiles depend on internal vehicle networks (IVNs) to control systems from the
anti-lock brakes to the transmission to the locks on the doors. Many IVNs, particularly the …
anti-lock brakes to the transmission to the locks on the doors. Many IVNs, particularly the …
[HTML][HTML] Intrusion detection system using deep neural network for in-vehicle network security
MJ Kang, JW Kang - PloS one, 2016 - journals.plos.org
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure 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 …
Two-stage intrusion detection system in intelligent transportation systems using rule extraction methods from deep neural networks
In recent years, intrusion detection systems (IDSs) are offering effective solutions to protect
various types of cyber-attacks in different networks such as Internet of Vehicles (IoVs) …
various types of cyber-attacks in different networks such as Internet of Vehicles (IoVs) …
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 …
[HTML][HTML] Deep transfer learning based intrusion detection system for electric vehicular networks
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …