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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| Format: | Journal Article |
| Language: | English |
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2024
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| Online Access: | https://hdl.handle.net/10356/179911 |