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Research on Anomaly Network Detection Based on Self-Attention Mechanism

Network traffic anomaly detection is a key step in identifying and preventing network security threats. This study aims to construct a new deep-learning-based traffic anomaly detection model through in-depth research on new feature-engineering methods, significantly improving the efficiency and accu...

詳細記述

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書誌詳細
主要な著者: Wanting Hu, Lu Cao, Qunsheng Ruan, Qingfeng Wu
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2023-05-01
シリーズ:Sensors
主題:
オンライン・アクセス:https://www.mdpi.com/1424-8220/23/11/5059
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