2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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CHLG-2: ZYELL - NCTUNetwork Anomaly Detection Challenge

Session Type: Poster
Time: Monday, 7 June, 13:00 - 14:45
Location: Zoom
 
   CHLG-2.1: HYBRID MODEL FOR NETWORK ANOMALY DETECTION WITH GRADIENT BOOSTING DECISION TREES AND TABTRANSFORMER
         Xinyue Xu; Australian National University
         Xiaolu Zheng; Beihang University
 
   CHLG-2.2: VOTING-BASED ENSEMBLE MODEL FOR NETWORK ANOMALY DETECTION
         Tzu-Hsin Yang; Academia Sinica
         Yu-Tai Lin; Academia Sinica
         Chao-Lun Wu; Academia Sinica
         Chih-Yu Wang; Academia Sinica
 
   CHLG-2.3: AN ACCURACY NETWORK ANOMALY DETECTION METHOD BASED ON ENSEMBLE MODEL
         Fengrui Liu; Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
         Xuefei Li; Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
         Wei Xiong; Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
         Haiyang Jiang; Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
         Gaogang Xie; Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences
 
   CHLG-2.4: FDEN: MINING EFFECTIVE INFORMATION OF FEATURES IN DETECTING NETWORK ANOMALIES
         Bin Li; National University of Defense Technology
         Yijie Wang; National University of Defense Technology
         Mingyu Liu; National University of Defense Technology
         Kele Xu; National University of Defense Technology
         Zhongyang Wang; National University of Defense Technology
         Li Cheng; National University of Defense Technology
         Yizhou Li; National University of Defense Technology