A machine learning approach for efficient traffic classification

W Li, AW Moore - … on modeling, analysis, and simulation of …, 2007 - ieeexplore.ieee.org
Traffic classification is of fundamental importance to track the evolution of network
applications and model their behaviours. Further, classified traffic is required to understand …

Internet traffic classification using machine learning

L Jun, Z Shunyi, L Yanqing… - 2007 Second International …, 2007 - ieeexplore.ieee.org
Internet traffic identification and classification is vital to the areas of network management
and security monitoring, network planning, and QoS provision. Traditional approaches such …

Traffic classification: Issues and challenges

Y Xue, D Wang, L Zhang - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
Traffic classification has been extensively examined in recent years, as it is widely used in
network management, design, security, advertising and research. In the past few years, the …

Semi-supervised network traffic classification

J Erman, A Mahanti, M Arlitt, I Cohen… - Proceedings of the 2007 …, 2007 - dl.acm.org
Identifying and categorizing network traffic by application type is challenging because of the
continued evolution of applications, especially of those with a desire to be undetectable. The …

BLINC: multilevel traffic classification in the dark

T Karagiannis, K Papagiannaki… - Proceedings of the 2005 …, 2005 - dl.acm.org
We present a fundamentally different approach to classifying traffic flows according to the
applications that generate them. In contrast to previous methods, our approach is based on …

Lightweight application classification for network management

H Jiang, AW Moore, Z Ge, S Jin, J Wang - Proceedings of the 2007 …, 2007 - dl.acm.org
Traffic application classification is an essential step in the network management process to
provide high availability of network services. However, network management has seen …

Network traffic classification techniques and comparative analysis using machine learning algorithms

M Shafiq, X Yu, AA Laghari, L Yao… - 2016 2nd IEEE …, 2016 - ieeexplore.ieee.org
Network Traffic Classification is a central topic nowadays in the field of computer science. It
is a very essential task for Internet service providers (ISPs) to know which types of network …

Automated traffic classification and application identification using machine learning

S Zander, T Nguyen, G Armitage - The IEEE Conference on …, 2005 - ieeexplore.ieee.org
The dynamic classification and identification of network applications responsible for network
traffic flows offers substantial benefits to a number of key areas in IP network engineering …

Tie: A community-oriented traffic classification platform

A Dainotti, W De Donato, A Pescapé - Traffic Monitoring and Analysis …, 2009 - Springer
The research on network traffic classification has recently become very active. The research
community, moved by increasing difficulties in the automated identification of network traffic …

Lightweight, payload-based traffic classification: An experimental evaluation

F Risso, M Baldi, O Morandi, A Baldini… - 2008 IEEE …, 2008 - ieeexplore.ieee.org
With the ever increasing amount of traffic, scalability is probably the most important factor
that differentiates several existing approaches to traffic classification. This paper focuses on …