Iot device identification using supervised machine learning
Internet of Things (IoT) has been increasingly becoming mainstream and can be considered
as the next stage of the internet revolution. The increasing use of IoT-based applications …
as the next stage of the internet revolution. The increasing use of IoT-based applications …
Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
J Guan, J Cai, H Bai, I You - … Journal of Machine Learning and Cybernetics, 2021 - Springer
Abstract Internet of Things (IoT) can provide the interconnection and data sharing among
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …
Edge computing intelligence using robust feature selection for network traffic classification in internet-of-things
Internet-of-Things (IoT) devices are massively interconnected, which generates a massive
amount of network traffic. The concept of edge computing brings a new paradigm to monitor …
amount of network traffic. The concept of edge computing brings a new paradigm to monitor …
A framework for identification and classification of iot devices for security analysis in heterogeneous network
Internet of Things (IoT) is a promising technology enabling physical devices like cameras,
home appliances, and other devices to communicate and interoperate with each other. The …
home appliances, and other devices to communicate and interoperate with each other. The …
An iot device identification method based on semi-supervised learning
L Fan, S Zhang, Y Wu, Z Wang, C Duan… - … on Network and …, 2020 - ieeexplore.ieee.org
With the rapid proliferation of IoT devices, device management and network security are
becoming significant challenges. Knowing how many IoT devices are in the network and …
becoming significant challenges. Knowing how many IoT devices are in the network and …
Federated deep reinforcement learning for traffic monitoring in SDN-based IoT networks
This paper proposes a novel traffic monitoring framework, namely, DeepMonitor, for SDN-
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
Multi-scale Convolutional Feature Fusion Network Based on Attention Mechanism for IoT Traffic Classification
N Liao, J Guan - International Journal of Computational Intelligence …, 2024 - Springer
Abstract The Internet of Things (IoT) has been extensively utilized in domains such as smart
homes, healthcare, and other industries. With the exponential growth of Internet of Things …
homes, healthcare, and other industries. With the exponential growth of Internet of Things …
A novel traffic classification approach by employing deep learning on software-defined networking
The ever-increasing diversity of Internet applications and the rapid evolution of network
infrastructure due to emerging technologies have made network management more …
infrastructure due to emerging technologies have made network management more …
EvoIoT: An evolutionary IoT and non-IoT classification model in open environments
IoT device identification is essential for both device asset management and security
management. IoT device identification in open environments is the key to its application in …
management. IoT device identification in open environments is the key to its application in …
Multidimensional behavioral profiling of internet-of-things in edge networks
The last decade has witnessed research advances and wide deployment of Internet-of-
things (IoT) in smart homes and connected industry. However, the recent spate of cyber …
things (IoT) in smart homes and connected industry. However, the recent spate of cyber …