Semi-supervised method for anomaly detection in HTTP traffic.

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Bibliographic Details
Title: Semi-supervised method for anomaly detection in HTTP traffic.
Authors: Wasundara, Malki Ishara1, malki941216@gmail.com, Zhou, Junwei1, junweizhou@msn.com, Yang, Yanchao1, yangyc@whut.edu.cn, Zhao, Dongdong1, zdd@whut.edu.cn, Xiang, Jianwen1, jwxiang@whut.edu.cn
Source: EURASIP Journal on Information Security; 8/21/2025, Vol. 2025 Issue 1, p1-16, 16p
Database: Applied Science & Technology Source
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