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 …
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 …
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 …
Recent advances in machine-learning driven intrusion detection in transportation: Survey
Abstract Rapid developments in Intelligent Transportation Systems (ITSs) have emerged as
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …
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] 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 …
An explainable deep learning framework for resilient intrusion detection in IoT-enabled transportation networks
A Oseni, N Moustafa, G Creech… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The security of safety-critical IoT systems, such as the Internet of Vehicles (IoV), has a great
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …
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 …
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 …
Tree-based intelligent intrusion detection system in internet of vehicles
The use of autonomous vehicles (AVs) is a promising technology in Intelligent
Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything …
Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything …