Online traffic classification for malicious flows using efficient machine learning techniques
The rapid network technology growth causing various network problems, attacks are becoming more sophisticated than defenses. In this paper, we proposed traffic classification by using machine learning technique, and statistical flow features such as five tuples for the training dataset. A rulebased...
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Main Authors: | Chan, Y. Y., Ismail, I., Khammas, B. M. |
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Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/94869/1/ChanYingYenn2021_OnlineTrafficClassification.pdf http://eprints.utm.my/id/eprint/94869/ http://dx.doi.org/10.12928/TELKOMNIKA.v19i4.20402 |
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