|International Conference on Recent Trends in Engineering and Technology 2013
|Foundation of Computer Science USA
|ICRTET - Number 1
|Authors: Pallavi Singhal, Rajeev Mathur, Himani Vyas
Pallavi Singhal, Rajeev Mathur, Himani Vyas . State of the Art Review of Network Traffic Classification based on Machine Learning Approach. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 1 (May 2013), 12-16.
Network traffic classification is extensively required mainly for many network management tasks such as flow prioritization, traffic shaping/policing, and diagnostic monitoring. Similar to network management tasks, many network engineering problems such as workload characterization and modeling, capacity planning, and route provisioning also benefit from accurate identification of network traffic . This paper presents review on all the work done related to Network Traffic Management since 1993 to 2013 in various fields like artificial intelligence, neural network, ATM and wireless networks.