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A Study of Deep Learning for Network Traffic Data Forecasting

201918 citationsBook Chaptergreen Open Access

Authors

Benedikt Pfülb · Fulda University of Applied Sciences

Christoph Hardegen · Fulda University of Applied Sciences

Alexander Gepperth · Fulda University of Applied Sciences

Sebastian Rieger · Fulda University of Applied Sciences

Topics & Keywords

Internet Traffic Analysis and Secure E-voting Traffic Prediction and Management Techniques Network Security and Intrusion Detection

UN Sustainable Development Goals

Industry, innovation and infrastructure

Publication Details

Published in: Lecture notes in computer science

DOI: 10.1007/978-3-030-30490-4_40

Field-Weighted Citation Impact: 2.48

A Study of Deep Learning for Network Traffic Data Forecasting | Researchclopedia