摘要
This paper presents a traffic recognition, the basis of QoS, based on artificial neural networks in SDN systems. To the design methodology of systems, this paper applied successive semi-supervised learning and based upon Convolutional Neural Network (CNN) to enabling packet identification and determine the traffic type of a flow. The resulting reveals up to ninety-five percent of correctness of given/labelled flow recognition and a ninety-two percent of correctness for unknown flows.
| 原文 | 英語 |
|---|---|
| 主出版物標題 | 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN（電子） | 9781728173993 |
| DOIs | |
| 出版狀態 | 已出版 - 28 09 2020 |
| 對外發佈 | 是 |
| 事件 | 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, 台灣 持續時間: 28 09 2020 → 30 09 2020 |
出版系列
| 名字 | 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 |
|---|
Conference
| Conference | 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 |
|---|---|
| 國家/地區 | 台灣 |
| 城市 | Taoyuan |
| 期間 | 28/09/20 → 30/09/20 |
文獻附註
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