[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 …
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 …
In-vehicle network intrusion detection using deep convolutional neural network
The implementation of electronics in modern vehicles has resulted in an increase in attacks
targeting in-vehicle networks; thus, attack detection models have caught the attention of the …
targeting in-vehicle networks; thus, attack detection models have caught the attention of the …
Deep learning-based intrusion detection system for internet of vehicles
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 …
such as smart cities, cyber-physical systems, and the Internet of vehicles (IoV). Within the IoV …
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 …
[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 …
[HTML][HTML] Towards a lightweight intrusion detection framework for in-vehicle networks
D Basavaraj, S Tayeb - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
With the emergence of networked devices, from the Internet of Things (IoT) nodes and
cellular phones to vehicles connected to the Internet, there has been an ever-growing …
cellular phones to vehicles connected to the Internet, there has been an ever-growing …
A hybrid approach toward efficient and accurate intrusion detection for in-vehicle networks
With recent advancements in the automotive world and the introduction of autonomous
vehicles, automotive security has become a real and important issue. Modern vehicles have …
vehicles, automotive security has become a real and important issue. Modern vehicles have …
Ai-based intrusion detection systems for in-vehicle networks: A survey
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …
protocol, which still lacks the implementation of suitable security mechanisms such as …
An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles
IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
susceptible to safety and security concerns that impend people's lives. Nothing like manually …