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- ArticleJanuary 2023
Machine Learning Based Abnormal Flow Analysis of University Course Teaching Network
Machine Learning for Cyber SecurityPages 30–43https://doi.org/10.1007/978-3-031-20102-8_3AbstractDue to the influence of abnormal traffic of university course teaching network, the accuracy of analysis results is low, this paper presents a method for analyzing the network traffic of university course teaching based on machine learning. ...
- research-articleJanuary 2020
A Method of Detecting the Abnormal Encrypted Traffic Based on Machine Learning and Behavior Characteristics
ICCNS '19: Proceedings of the 2019 9th International Conference on Communication and Network SecurityPages 47–50https://doi.org/10.1145/3371676.3371705Classification of network traffic using port-based or deep packet-based analysis is becoming increasingly difficult with many peer-to-peer(P2P) applications using dynamic port numbers, especially in massive data streams. In view of the problem that ...