Feature reduction method for cognition and classification of IoT devices based on artificial intelligence

X Chen, X Hao - IEEE access, 2019 - ieeexplore.ieee.org
In recent years, the scale and application scenarios of the Internet of Things (IoT) have been
expanding. Since traditional algorithms are unable to meet wireless networks computing …

Research on the Internet of Things device recognition based on RF-fingerprinting

Y Tu, Z Zhang, Y Li, C Wang, Y Xiao - Ieee Access, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) technology provides a large-scale network for information exchange
and communication with big data. Because of the openness of IoT devices in the process of …

The individual identification method of wireless device based on dimensionality reduction and machine learning

Y Lin, X Zhu, Z Zheng, Z Dou, R Zhou - The journal of supercomputing, 2019 - Springer
The access security of wireless devices is a serious challenge in present wireless network
security. Radio frequency (RF) fingerprint recognition technology as an important non …

Research on RF fingerprint feature selection method

Y Li, Y Lin, Z Dou, Y Chen - 2020 IEEE 91st Vehicular …, 2020 - ieeexplore.ieee.org
In the era of 5G and Internet of Things, the number of connected devices has increased
dramatically, which has placed a heavy burden on the network. So it is worthwhile to study …

Iot devices identification based on machine learning

W Li, Q Li, R Liu - 2021 IEEE 21st International Conference on …, 2021 - ieeexplore.ieee.org
Intelligent network has been becoming one of the main development directions of 5G. A
massive number of Internet of Things (IoT) devices are flexibly connected to 5G network …

[PDF][PDF] A Novel Ensemble Learning Algorithm Based on DS Evidence Theory for IoT Security.

C Shi - Computers, Materials & Continua, 2018 - cdn.techscience.cn
In the last decade, IoT has been widely used in smart cities, autonomous driving and
Industry 4.0, which lead to improve efficiency, reliability, security and economic benefits …

An ensemble learning method for wireless multimedia device identification

Z Zhang, Y Li, C Wang, M Wang, Y Tu… - Security and …, 2018 - Wiley Online Library
In the last decade, wireless multimedia device is widely used in many fields, which leads to
efficiency improvement, reliability, security, and economic benefits in our daily life. However …

Automation of feature engineering for IoT analytics

S Banerjee, T Chattopadhyay, A Pal, U Garain - ACM sigbed review, 2018 - dl.acm.org
This paper presents an approach for automation of interpretable feature selection for Internet
Of Things Analytics (IoTA) using machine learning (ML) techniques. Authors have conducted …

A robust RF fingerprinting approach using multisampling convolutional neural network

J Yu, A Hu, G Li, L Peng - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
With the increasing popularity of the Internet of Things (IoT), device identification, and
authentication has become a critical security issue. Recently, radio frequency (RF) …

Analysis of classification methods based on radio frequency fingerprint for zigbee devices

J Wang, L Zhuang, W Cheng, C Xu, X Wu… - Advances in Computer …, 2019 - Springer
Radio frequency fingerprint is an inherent characteristic of wireless communication devices
which can be extracted from communication signals and be applied in wireless device …