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 …
[HTML][HTML] Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders
With the development of autonomous vehicle technology, the controller area network (CAN)
bus has become the de facto standard for an in-vehicle communication system because of …
bus has become the de facto standard for an in-vehicle communication system because of …
Artificial intelligence (AI)-empowered intrusion detection architecture for the internet of vehicles
Recent advances in the Internet of Things (IoT) and the adoption of IoT in vehicular networks
have led to a new and promising paradigm called the Internet of Vehicles (IoV). However …
have led to a new and promising paradigm called the Internet of Vehicles (IoV). However …
HDL-IDS: a hybrid deep learning architecture for intrusion detection in the Internet of Vehicles
Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) network that
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …
Threat analysis for automotive CAN networks: A GAN model-based intrusion detection technique
With the rapid development of Internet of vehicles, connected vehicles, autonomous
vehicles, and autonomous driving technologies, automotive Controller Area Networks (CAN) …
vehicles, and autonomous driving technologies, automotive Controller Area Networks (CAN) …
Vehicular network intrusion detection using a cascaded deep learning approach with multi-variant metaheuristic
Vehicle malfunctions have a direct impact on both human and road safety, making vehicle
network security an important and critical challenge. Vehicular ad hoc networks (VANETs) …
network security an important and critical challenge. Vehicular ad hoc networks (VANETs) …
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) …
[PDF][PDF] Car hacking and defense competition on in-vehicle network
Cybersecurity competitions can promote the importance of security and discover talented
researchers. We hosted the Car Hacking: Attack & Defense Challenge from September 14 …
researchers. We hosted the Car Hacking: Attack & Defense Challenge from September 14 …
CANet: An unsupervised intrusion detection system for high dimensional CAN bus data
We propose a neural network architecture for detecting intrusions on the controller area
network (CAN). The latter is the standard communication method between the electronic …
network (CAN). The latter is the standard communication method between the electronic …
DeepVCM: A deep learning based intrusion detection method in VANET
With the rapid development in smart vehicles, the security and privacy issues of the
Vehicular Ad-hoc Network (VANET) have drawn significant attention. Devices in an On …
Vehicular Ad-hoc Network (VANET) have drawn significant attention. Devices in an On …