Convolutional neural network-based intrusion detection system for AVTP streams in automotive Ethernet-based networks
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 …
Automotive Ethernet replaces the controller area network and FlexRay to support the large …
Unsupervised network intrusion detection system for AVTP in automotive Ethernet networks
Network Intrusion Detection Systems (NIDSs) are widely regarded as efficient tools for
securing in-vehicle networks against diverse cyberattacks. However, since cyberattacks are …
securing in-vehicle networks against diverse cyberattacks. However, since cyberattacks are …
[HTML][HTML] Distributed deep CNN-LSTM model for intrusion detection method in IoT-based vehicles
As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection
plays an increasingly important role as a vital detection tool for information security …
plays an increasingly important role as a vital detection tool for information security …
Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic
A significant increase in the use of electronics control units (ECUs) in modern vehicles has
made controller area network (CAN) a de facto standard in the automotive industry. CAN …
made controller area network (CAN) a de facto standard in the automotive industry. CAN …
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 …
TOW-IDS: intrusion detection system based on three overlapped wavelets for automotive ethernet
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) …
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …
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 …
Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method
As an industrial application of Internet of Things (IoT), Internet of Vehicles (IoV) is one of the
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
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 …