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一种物联网环境下的分布式异常流量检测方案ahttps://wpn.zut.edu.cn/https/77726476706e69737468656265737421fbf952d2243e635930068cb8/kns8/Detail?sfield=fn&QueryID=0&CurRec=47&DbCode=CJFD&dbname=CJFDLAST2022&filename=JSJC202208019&urlid=31.1289.TP.20220224.1746.016&yx=A
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最后更新: 2023-10-17
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建模场景
如何高效地进行异常流量检测成为物联网安全研究中的一项重要任务
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网络流量
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年份会议级别
2022
北大核心
Valine
Braindance
为世界上所有的美好而战
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13
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最新发布
A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges
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Anomaly traffic detection in IoT security using graph neural networks
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TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
2024-4-25
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
2023-11-30
Application of a Dynamic Line Graph Neural Network for Intrusion Detection With Semisupervised Learning
2023-11-27
Wrongdoing Monitor: A Graph-Based Behavioral Anomaly Detection in Cyber Security
2023-11-6
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