Clustering techniques for traffic classification: a comprehensive review

K Takyi, A Bagga, P Goopta - 2018 7th International …, 2018 - ieeexplore.ieee.org
The threat of malicious content on a network requires network administrators and users to
accurately detect desirable traffic flow into their respective networks. To this effect, several …

An autonomous QoE-driven network management framework

J Seppänen, M Varela, A Sgora - Journal of Visual Communication and …, 2014 - Elsevier
Recently, network researchers have taken a great interest in quality of experience (QoE) and
in the new aspects it brings in the study of the link between network conditions and user …

[PDF][PDF] A review on features' robustness in high diversity mobile traffic classifications

Y Aun, S Manickam, S Karuppayah - International journal of …, 2017 - academia.edu
Mobile traffics are becoming more dominant due to growing usage of mobile devices and
proliferation of IoT. The influx of mobile traffics introduce some new challenges in traffic …

Identification of abnormal network traffic using support vector machine

L Kong, G Huang, K Wu - 2017 18th international conference …, 2017 - ieeexplore.ieee.org
Network traffic identification has been a hot topic in network security area. The identification
of abnormal traffic can detect attack traffic and helps network manager enforce …

QoE-driven network management for real-time over-the-top multimedia services

J Seppänen, M Varela - 2013 IEEE Wireless Communications …, 2013 - ieeexplore.ieee.org
This paper introduces a network access point (AP) control solution in the context of over-the-
top (OTT) multimedia services. The solution is designed to provide network-level …

The study of network traffic identification based on machine learning algorithm

S Dong, DD Zhou, W Ding - 2012 Fourth International …, 2012 - ieeexplore.ieee.org
Network traffic identification is one of the hot research fields for network management and
network security; machine learning is an important method during the network traffic …

A traffic classification agent for virtual networks based on QoS classes

RL Gomes, ERM Madeira - IEEE Latin America Transactions, 2012 - ieeexplore.ieee.org
Internet growth drives the emergence and usage of new applications, which have specific
requirements for Quality of Service (QoS). Thus, differentiation of packets which belong to …

Network traffic classification based on kernel self-organizing maps

H Ting, W Yong, T Xiaoling - 2010 International Conference on …, 2010 - ieeexplore.ieee.org
Network traffic classification has always been an important part of realizing effective network
management. Due to network traffic is high-dimensional nonlinear, classical Self-Organizing …

[PDF][PDF] A semi-supervised QoS-aware classification for wide area networks with limited resources

K Takyi, A Bagga, P Gupta - International Journal of Innovative …, 2019 - researchgate.net
The task of network administrators to identify and determine the type of traffic traversing
through the network is very critical to the rapid growth of new traffic each day. As the …

Two-phased method for identifying SSH encrypted application flows

M Hirvonen, M Sailio - 2011 7th International Wireless …, 2011 - ieeexplore.ieee.org
The use of application-layer tunnels has become more popular nowadays. By using
encrypted tunnels for prohibited application such as peer-to-peer file sharing it is easy to …