원문정보
초록
영어
In this paper, we propose an analysis method of spatial and temporal characteristics of education network traffic based on flexible multiscale entropy (FMSE). As an improved method, flexible multiscale entropy has a significant improvement in stability and accuracy over multiscale entropy (MSE). We analyze network traffic in different time scales, space scales and traffic levels by building network traffic time-space analysis model and using flexible multiscale entropy as a method to quantify complexity of different network traffic subsequences. The results show that there are distinct characteristics in the complexity of different levels of network traffic. We also find that the existence of a large number of small network traffic flows has a significant influence on the complexity of network traffic.
목차
1. Introduction
2. Methodology
2.1. Flexible Multiscale Entropy
2.2. Network Traffic Analysis Model
3. Experiment Results
3.1. Experiment Setup
3.2. Macro Level Network Traffic Analysis
3.3. PC level Network Traffic Analysis
4. Conclusion and Future Work
Acknowledgment
References