A deep learning based method for network application classification in software-defined IoT
Network Application Classification (NAC) is a vital technology for intrusion detection, Quality-
of-Service (QoS)-aware traffic engineering, traffic analysis, and network anomalies …
of-Service (QoS)-aware traffic engineering, traffic analysis, and network anomalies …
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 …
[PDF][PDF] Machine Learning-Based Traffic Classification in Software-Defined Networking: A Systematic Literature Review, Challenges, and Future Research Directions.
The growing diversification of Internet applications and the continuous evolution of network
infrastructure with emerging technologies have complicated network management. Network …
infrastructure with emerging technologies have complicated network management. Network …
Payload-based traffic classification using multi-layer lstm in software defined networks
Recently, with the advent of various Internet of Things (IoT) applications, a massive amount
of network traffic is being generated. A network operator must provide different quality of …
of network traffic is being generated. A network operator must provide different quality of …
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 …
Deep CNN-RNN with Self-Attention Model for Electric IoT Traffic Classification
G Wang, L Tang, Z Yang, L Yan… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Network traffic classification is crucial for network monitoring and analysis, including
legitimate interception, quality of service assurance, application bottleneck prevention, and …
legitimate interception, quality of service assurance, application bottleneck prevention, and …
Cor-ENTC: correlation with ensembled approach for network traffic classification using SDN technology for future networks
S Paramasivam, RL Velusamy - The Journal of Supercomputing, 2023 - Springer
According to a study on advanced technology, resource planning, and design for Fifth
Generation (5G) architecture and elsewhere, network traffic classification is a basic and …
Generation (5G) architecture and elsewhere, network traffic classification is a basic and …
Towards efficient and scalable machine learning-based QoS traffic classification in software-defined network
MZF Audah, TS Chin, Y Zulfadzli, CK Lee… - Mobile Web and …, 2019 - Springer
Abstract Internet Service Provider (ISP) has the responsibility to fulfill the Quality of Service
(QoS) of various types of applications. The centralized network controller in Software …
(QoS) of various types of applications. The centralized network controller in Software …
Automatic classification of network traffic data based on deep learning in onos platform
Machine learning has been deployed in networks for automatically analyzing network data,
proactively monitoring network dynamics, and predicting network resource availability. This …
proactively monitoring network dynamics, and predicting network resource availability. This …
[PDF][PDF] Architecting a machine learning pipeline for online traffic classification in software defined networking using spark
Precise traffic classification is essential to numerous network functionalities such as routing,
network management, and resource allocation. Traditional classification techniques became …
network management, and resource allocation. Traditional classification techniques became …