Online traffic classification for malicious flows using efficient machine learning techniques

• Main Authors: Chan, Y. Y., Ismail, I., Khammas, B. M.
• Format: Article
• Language: English
• Published: Universitas Ahmad Dahlan 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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
• Institution: Universiti Teknologi Malaysia

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...