Network traffic anomaly detection method based on multi-scale characteristic

被引:0
|
作者
Duan, Xueyuan [1 ,2 ,3 ]
Fu, Yu [1 ]
Wang, Kun [1 ,4 ]
Liu, Taotao [1 ]
Li, Bin [1 ]
机构
[1] Department of Information Security, Naval University of Engineering, Wuhan,430033, China
[2] College of Computer and Information Technology, Xinyang Normal University, Xinyang,464000, China
[3] Henan Key Laboratory of Analysis and Applications of Education Big Data, Xinyang Normal University, Xinyang,464000, China
[4] School of Mathematics and Information Engineering, Xinyang Vocational and Technical College, Xinyang,464000, China
来源
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Anomaly detection
引用
收藏
页码:65 / 76
相关论文
共 50 条
  • [41] Hybrid multi-scale modeling of network traffic
    Hu, JC
    Wang, Y
    Dou, RS
    2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2, 2005, : 987 - 990
  • [42] Research on Visual Anomaly Detection Based on Multi-scale Normalizing Flow
    Mao G.-J.
    Wu X.-Z.
    Xing S.-L.
    Zidonghua Xuebao/Acta Automatica Sinica, 2024, 50 (03): : 640 - 648
  • [43] A Multi-Scale Mask Convolution-Based Blind-Spot Network for Hyperspectral Anomaly Detection
    Yang, Zhiwei
    Zhao, Rui
    Meng, Xiangchao
    Yang, Gang
    Sun, Weiwei
    Zhang, Shenfu
    Li, Jinghui
    REMOTE SENSING, 2024, 16 (16)
  • [44] An Extended Multi-scale Principal Component Analysis Method and Application in Anomaly Detection
    Wen Chenglin
    Zhou Funa
    Wen Chuanbo
    Chen Zhiguo
    CHINESE JOURNAL OF ELECTRONICS, 2012, 21 (03): : 471 - 476
  • [45] Multi-Type Anomaly Detection Based on Raw Network Traffic
    Sun, Yuwei
    Ochiai, Hideya
    Esaki, Hiroshi
    2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2021,
  • [46] Network Traffic Analysis for Mobile Terminal Based Multi-scale Entropy
    Chen, Xiaoming
    Wang, Huiqiang
    Lin, Junyu
    Feng, Guangsheng
    Zhao, Chao
    2014 ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC), 2014, : 74 - 80
  • [47] EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection
    Li, Pengyu
    Liu, Chenhe
    Li, Tengfei
    Wang, Xinyu
    Zhang, Shihui
    Yu, Dongyang
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2024, PT II, 2024, 15017 : 120 - 136
  • [48] Multi-Scale Analysis of Long Range Dependent Traffic for Anomaly Detection in Wireless Sensor Networks
    Zheng, Shanshan
    Baras, John S.
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 4060 - 4065
  • [49] DeepFake detection method based on multi-scale interactive dual-stream network
    Cheng, Ziyuan
    Wang, Yiyang
    Wan, Yongjing
    Jiang, Cuiling
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2024, 104
  • [50] Fire Detection Method Based on Deep Residual Network and Multi-Scale Feature Fusion
    Xiao, Zehao
    Dong, Enzeng
    Du, Shengzhi
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 4810 - 4815