Baris Yamansavascilar

Software and Research Engineer | PhD Candidate

Network Traffic Classification Using Machine Learning Techniques

Recent developments on the Internet have led to increase the importance of network traffic classification. Classification of large-scale network traffic can provide much important information for network management, QoS and network security. In this study, the influence of different network speeds to accuracy was evaluated and a comparison between packet-based and time-based approaches was performed.


Related Publications:


Application Identification via Network Traffic Classification , Baris Yamansavascilar, M. Amac Guvensan, A. Gokhan Yavuz, and M. Elif Karsligil, International Conference on Computing, Networking and Communications (ICNC), Santa Clara, CA, USA, 2017