[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 …
MbRE IDS: an AI and edge computing empowered framework for securing intelligent transportation systems
Recent years have seen a widespread growth of research in the Internet of Things (IoT).
While mobility networks such as the Intelligent Transportation Systems (ITS) are being …
While mobility networks such as the Intelligent Transportation Systems (ITS) are being …
In-vehicle CAN bus tampering attacks detection for connected and autonomous vehicles using an improved isolation forest method
The development and applications of mobile communication technologies in intelligent
autonomous transportation systems have led to an extraordinary rise in the mount of …
autonomous transportation systems have led to an extraordinary rise in the mount of …
Multitask learning for security and privacy in IoV (Internet of Vehicles)
An AI system simulates human intellect in order to build a computer capable of addressing
real‐world issues. Machine learning is a field in artificial intelligence and a proven prediction …
real‐world issues. Machine learning is a field in artificial intelligence and a proven prediction …
[HTML][HTML] Intrusion detection in intelligent connected vehicles based on weighted self-information
T Yu, J Hu, J Yang - Electronics, 2023 - mdpi.com
The Internet of Vehicles (IoV) empowers intelligent and tailored services for intelligent
connected vehicles (ICVs). However, with the increasing number of onboard external …
connected vehicles (ICVs). However, with the increasing number of onboard external …
Sdn-based misbehavior detection system for vehicular networks
A Boualouache, R Soua, T Engel - 2020 IEEE 91st Vehicular …, 2020 - ieeexplore.ieee.org
Vehicular networks are vulnerable to a variety of internal attacks. Misbehavior Detection
Systems (MDS) are preferred over the cryptography solutions to detect such attacks …
Systems (MDS) are preferred over the cryptography solutions to detect such attacks …
Attack detection in IoT using DBN based optimization algorithm
B Janaiah - Journal of Networking and Communication …, 2022 - publisher.resbee.org
Abstract Internet of Things (IoT) is a novel Internet revolution and it creates the Objects
themselves communicate information, recognizable; attain intelligence, regarding …
themselves communicate information, recognizable; attain intelligence, regarding …
NovelADS: A novel anomaly detection system for intra-vehicular networks
Modern vehicular electronics is a complex system of multiple Electronic Control Units
(ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate …
(ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate …
[HTML][HTML] Bit-level automotive controller area network message reverse framework based on linear regression
Modern intelligent and networked vehicles are increasingly equipped with electronic control
units (ECUs) with increased computing power. These electronic devices form an in-vehicle …
units (ECUs) with increased computing power. These electronic devices form an in-vehicle …
Toward interpretable anomaly detection for autonomous vehicles with denoising variational transformer
Efficient anomaly detection is crucial to ensure safe operation of Autonomous vehicles
(AVs). This study proposes an interpretable method for detecting anomalies in AV data …
(AVs). This study proposes an interpretable method for detecting anomalies in AV data …