Efficiency of Supervised Machine Learning Algorithms in Regular and Encrypted VoIP Classification within NFV Environment

Efficiency of Supervised Machine Learning Algorithms in Regular and Encrypted VoIP Classification within NFV Environment

Cloudification of all computing environments is an undergoing process. The process has overpassed the classical Virtual Machines (VM) and Software-Defined Networking (SDN) approach and has moved towards dockerizing, microservices, app functions, network functions etc. 5G penetration is another trend...

Full description

Bibliographic Details
Main Authors: G. Ilievski, P. Latkoski
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2020-04-01
Series:Radioengineering
Subjects:
voip
classification
supervised algorithms
machine learning
nfv
5g
Online Access:https://www.radioeng.cz/fulltexts/2020/20_01_0243_0250.pdf

Internet

https://www.radioeng.cz/fulltexts/2020/20_01_0243_0250.pdf

Similar Items