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) …
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 …
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 …
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 …
Machine learning-driven optimization for intrusion detection in smart vehicular networks
An essential element in the smart city vision is providing safe and secure journeys via
intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a …
intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a …
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) …
[HTML][HTML] A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems
With the rise of the Internet of Vehicles (IoV) and the number of connected vehicles
increasing on the roads, Cooperative Intelligent Transportation Systems (C-ITSs) have …
increasing on the roads, Cooperative Intelligent Transportation Systems (C-ITSs) have …
A systematic review on intelligent intrusion detection systems for VANETs
F Gonçalves, B Ribeiro, O Gama… - … Congress on Ultra …, 2019 - ieeexplore.ieee.org
Vehicular Ad hoc Networks (VANETs) are a growing area that continues to gain interest with
an increasing diversity of applications available. These are the underlying network for …
an increasing diversity of applications available. These are the underlying network for …
Transfer learning-driven intrusion detection for Internet of Vehicles (IoV)
The Internet of Vehicles (IoV) is a set of connected vehicles supported with sensors,
communication technologies, and software connected by the Internet as an infrastructure …
communication technologies, and software connected by the Internet as an infrastructure …