[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 …
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 …
T-BCIDS: Trust-based collaborative intrusion detection system for VANET
With the development of an intelligent transport system (ITS), security becomes an
increasingly important issue. The Vehicle ad-hoc network (VANET) security researchers …
increasingly important issue. The Vehicle ad-hoc network (VANET) security researchers …
Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms
The communication and connectivity functions of vehicles increase their vulnerability to
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …
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) …
Machine Learning based intrusion detection systems for connected autonomous vehicles: A survey
J Nagarajan, P Mansourian, MA Shahid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract Connected and Autonomous Vehicles (CAVs) expect to dramatically improve road
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
Transforming Transportation: Safe & Secure Vehicular Communication & Anomaly Detection with Intelligent Cyber-Physical System & Deep Learning
HN AlEisa, F Alrowais, R Allafi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …
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 …
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 …
Retracted: An Evolutionary Deep Learning Anomaly Detection Framework for In-Vehicle Networks-CAN Bus
Y Lin, C Chen, F Xiao, O Avatefipour… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Modern vehicles are no longer considered as mere mechanical-based device, instead, they
have been hugely replaced by sophisticated electric devices known as Electronic Control …
have been hugely replaced by sophisticated electric devices known as Electronic Control …