Misbehavior detection with spatio-temporal graph neural networks

MF Yuce, MA Erturk, MA Aydin - Computers and Electrical Engineering, 2024 - Elsevier
Abstract Graph Neural Networks (GNNs) gained the attention of researchers following
advancements in Representational Learning. Unlike classical machine learning (ML) …

[HTML][HTML] A review of thermal array sensor-based activity detection in smart spaces using AI

CI Nwakanma, GO Anyanwu, LAC Ahakonye, JM Lee… - ICT Express, 2023 - Elsevier
Nowadays, research works into the dynamic and static human activities on Smart spaces
abounds. Artificial Intelligence (AI) and low cost non-privacy invasive ambient sensors have …

Leveraging Neuro-Inspired Reinforcement Learning for Secure Reputation-based Communication in Connected Vehicles

H Rathore, H Griffith - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Secure communications in connected vehicles (CV) is essential to ensure the safety of
drivers, passengers and pedestrians. As vehicles are becoming more connected and …

Severity-Oriented Multiclass Drone Flight Logs Anomaly Detection

S Silalahi, T Ahmad, H Studiawan, E Anthi… - IEEE …, 2024 - ieeexplore.ieee.org
The availability of log data recorded by computer-based systems such as operating system
and network logs, makes it possible for the stakeholder to look after the system for …

Intrusion Detection Model for Internet of Vehicles Using GRIPCA and OWELM

K Zhang, J Yang, Y Shao, L Hu, W Ou, W Han… - IEEE …, 2024 - ieeexplore.ieee.org
With the rapid development of the Internet of Vehicles, a large amount of vehicle network
data is being generated. The large amount of data presents network communication security …

Misbehavior detection in connected vehicles using BurST-ADMA dataset

GO Anyanwu, CI Nwakanma, JH Kim… - … on Information and …, 2022 - ieeexplore.ieee.org
The reliability and security of information within and between connected vehicles is now a
burning research issue. Connected vehicle security is of utmost importance to military, civil …

[PDF][PDF] Severity-Oriented Multiclass Drone Flight Logs Anomaly Detection

E ANTHI, L WILLIAMS - 2024 - orca.cardiff.ac.uk
The availability of log data recorded by computer-based systems such as operating system
and network logs, makes it possible for the stakeholder to look after the system for …

Sybil Attack Detection in VANETs: An LSTM-Based BiGAN Approach

Y Zhong, H Yang, Y Li, B Yang, X Li… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The growing prominence and evolution of the Internet of Vehicles demand more prompt and
precise security measures. Real-time detection of Sybil attacks in Vehicular Ad-Hoc …

Secure Key Exchange Scheme and Blockchain-oriented Data Protection in the Internet of Vehicles

S Cherbal - 2023 6th International Conference on Signal …, 2023 - ieeexplore.ieee.org
Today, vehicles are becoming part of the Internet of Things, providing information to people
on the move. This has led to the evolution of vehicular networks into the Internet of Vehicles …

Using Artificial Intelligence (AI) Methods on the Internet of Vehicles (IoV): Overview and Future Opportunities

AE Ahmadi, O Abdoun, EK Haimoudi - The International Conference on …, 2023 - Springer
Recent developments in communication technologies, intelligent transportation systems,
and computer systems have created many opportunities for intelligent traffic solutions that …