Real-time mask identification for COVID-19: An edge-computing-based deep learning framework

X Kong, K Wang, S Wang, X Wang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
During the outbreak of the Coronavirus disease 2019 (COVID-19), while bringing various
serious threats to the world, it reminds us that we need to take precautions to control the …

An advanced intrusion detection system for IIoT based on GA and tree based algorithms

SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

Variational transformer-based anomaly detection approach for multivariate time series

X Wang, D Pi, X Zhang, H Liu, C Guo - Measurement, 2022 - Elsevier
Due to the strategic importance of satellites, the safety and reliability of satellites have
become more important. Sensors that monitor satellites generate lots of multivariate time …

Application of a dynamic line graph neural network for intrusion detection with semisupervised learning

G Duan, H Lv, H Wang, G Feng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective
statistical network characterization; nevertheless, the intrusion class differentiation …

PSSPR: a source location privacy protection scheme based on sector phantom routing in WSNs

Y Chen, J Sun, Y Yang, T Li, X Niu… - International Journal of …, 2022 - Wiley Online Library
Source location privacy (SLP) protection is an emerging research topic in wireless sensor
networks. Because the source location represents the valuable information of the target …

Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks

M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …

Fedvcp: A federated-learning-based cooperative positioning scheme for social internet of vehicles

X Kong, H Gao, G Shen, G Duan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent vehicle applications, such as autonomous driving and collision avoidance, put
forward a higher demand for precise positioning of vehicles. The current widely used global …

Fabric defect detection in textile manufacturing: a survey of the state of the art

C Li, J Li, Y Li, L He, X Fu, J Chen - Security and …, 2021 - Wiley Online Library
Defects in the textile manufacturing process lead to a great waste of resources and further
affect the quality of textile products. Automated quality guarantee of textile fabric materials is …

Integrated generative model for industrial anomaly detection via bidirectional LSTM and attention mechanism

F Kong, J Li, B Jiang, H Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
For emerging industrial Internet of Things (IIoT), intelligent anomaly detection is a key step to
build smart industry. Especially, explosive time-series data pose enormous challenges to the …

A federated learning-based license plate recognition scheme for 5G-enabled internet of vehicles

X Kong, K Wang, M Hou, X Hao, G Shen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
License plate is an essential characteristic to identify vehicles for the traffic management,
and thus, license plate recognition is important for Internet of Vehicles. Since 5G has been …