Novel wobble-defended M-MULTOPS structure and its application in detecting network abnormal traffic by SUN Zhi-xin1, TANG Yi-wei1, GONG Jing1

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Intelligent detection method on network malicious traffic based on sample enhancement by Tieming CHEN, Chengqiang JIN, Mingqi LYU, Tiantian ZHU

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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

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Survey of encrypted malicious traffic detection based on deep learning by Mingfang ZHAI, Xingming ZHANG, Bo ZHAO

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Distributed abnormal traffic detection method for SDN based on deep learning by WANG Kun, FU Yu, DUAN Xueyuan, YU Yihan, LIU Taotao

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Hierarchical Clustering for Anomalous Traffic Conditions Detection in Power Substations by Erwin Alexander Leal Piedrahita

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Flow-based electronic resource network behavior analysis practice by HE Haitao, LI Enlei, ZHAO Qiong, YAO Renlong, WEI Yujun

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Mobile malware traffic detection approach based on value-derivative GRU by Hanxun ZHOU, Chen CHEN, Runze FENG, Junkun XIONG, Hong PAN, Wei GUO

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Abnormal network traffic detection approach based on alive entropy by Xiang-kun MU, Jin-song WANG, Yu-feng XUE, Wei HUANG

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Blockchain network layer anomaly traffic detection method based on multiple classifier integration by Qianyi DAI, Bin ZHANG, Song GUO, Kaiyong XU

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A New Website Fingerprinting Method for Tor Hidden Service by Zihang Hui, Jiangtao Zhai, Shengxian Wang, Weijie Ji

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Study on privacy preserving encrypted traffic detection by Xinyu ZHANG, Bingsheng ZHANG, Quanrun MENG, Kui REN

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Abnormal traffic detection method based on multi-scale attention feature enhancement by YANG Hongyu, ZHANG Haohao, CHENG Xiang

Subjects: “…abnormal traffic detection…”
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Detection of SSL/TLS protocol attacks based on flow spectrum theory by Shize GUO, Fan ZHANG, Zhuoxue SONG, Ziming ZHAO, Xinjie ZHAO, Xiaojuan WANG, Xiangyang LUO

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Abnormal traffic detection method based on LSTM and improved residual neural network optimization by Wengang MA, Yadong ZHANG, Jin GUO

Subjects: “…abnormal traffic detection…”
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Survey of research on abnormal traffic detection for software defined networks by Yu FU, Kun WANG, Xueyuan DUAN, Taotao LIU

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