A deep learning approach for IoT traffic multi-classification in a smart-city scenario
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …
Capsule network assisted IoT traffic classification mechanism for smart cities
With rapid development of compelling application scenarios of the Internet of Things (IoT),
such as smart cities, it becomes substantially important to strengthen the management of …
such as smart cities, it becomes substantially important to strengthen the management of …
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
The Internet of Things (IoT) has witnessed unprecedented growth, resulting in a massive
influx of diverse network traffic from interconnected devices. Effectively classifying this …
influx of diverse network traffic from interconnected devices. Effectively classifying this …
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 …
A novel distributed stack ensembled meta-learning-based optimized classification framework for real-time prolific IoT traffic streams
M Snehi, A Bhandari - Arabian Journal for Science and Engineering, 2022 - Springer
The concurrence of state-of-the-art Industrial 5G, Cyber-Physical Systems, Smart-Systems,
Industrial Internet of Things, and Additive Manufacturing paves the next-level digital …
Industrial Internet of Things, and Additive Manufacturing paves the next-level digital …
A feature-ranking framework for IoT device classification
IoT market is rapidly changing the cyber threat landscape. The challenges to security and
privacy arise not only because IoT devices are large in number, but also because IoT …
privacy arise not only because IoT devices are large in number, but also because IoT …
Lightweight machine learning classifiers of IoT traffic flows
RF Bikmukhamedov, AF Nadeev - 2019 Systems of Signal …, 2019 - ieeexplore.ieee.org
IoT traffic flows have different from traditional devices statistics and their classification
become an important task because of the exponentially growing number of smart devices …
become an important task because of the exponentially growing number of smart devices …
GLADS: A global-local attention data selection model for multimodal multitask encrypted traffic classification of IoT
J Dai, X Xu, F Xiao - Computer Networks, 2023 - Elsevier
With the rapid development of the Internet of Things (IoT), numerous of IoT devices and
different characteristics in IoT traffic patterns need traffic classification to enable many …
different characteristics in IoT traffic patterns need traffic classification to enable many …
An efficient internet traffic classification system using deep learning for IoT
Internet of Things (IoT) defines a network of devices connected to the internet and sharing a
massive amount of data between each other and a central location. These IoT devices are …
massive amount of data between each other and a central location. These IoT devices are …
IoT network traffic classification using machine learning algorithms: An experimental analysis
Internet of Things (IoT) refers to a wide variety of embedded devices connected to the
Internet, enabling them to transmit and share information in smart environments with each …
Internet, enabling them to transmit and share information in smart environments with each …