IoT traffic multi-classification using network and statistical features in a smart environment
A Hameed, A Leivadeas - 2020 IEEE 25th international …, 2020 - ieeexplore.ieee.org
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 …
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 …
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 …
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 …
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 …
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 …
Multi-task learning for IoT traffic classification: A comparative analysis of deep autoencoders
As a system allowing intra-network devices to automatically communicate over the Internet,
the Internet of Things (IoT) faces increasing popularity in modern applications and security …
the Internet of Things (IoT) faces increasing popularity in modern applications and security …
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 …
A group-based IoT devices classification through network traffic analysis based on machine learning approach
A Bassene, B Gueye - Towards new e-Infrastructure and e-Services for …, 2021 - Springer
With the rapid growth of the Internet of Things (IoT), the deployment, management, and
identification of IoT devices that are connected to networks become a big concern …
identification of IoT devices that are connected to networks become a big concern …
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 …