Analysis of machine learning application in campus network traffic anomaly detection

In this paper, machine learning algorithms are first utilized to extract features of campus network traffic, and then the multi-attention mechanism is introduced to fuse the massive features extracted at different scales. Unsupervised learning is used to propose a method for detecting network traffi...

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书目详细资料
主要作者: Li, Rongrong
其他作者: School of Physical and Mathematical Sciences
格式: Journal Article
语言:English
出版: 2024
主题:
在线阅读:https://hdl.handle.net/10356/179911