An Analysis of Temporal Features in Multivariate Time Series to Forecast Network Events

Analyzing network traffic over time is crucial for understanding the changes in network activity. To properly examine network traffic patterns over time, multiple network events in each timestamp need to be converted to time series data. In this study, we propose a new approach to transform network...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Soo-Yeon Ji, Bong Keun Jeong, Dong H. Jeong
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	multi-step forecasting time series network traffic analysis wavelet transformation permutation entropy
Online Access:	https://www.mdpi.com/2076-3417/13/18/10411