CHLG-2: ZYELL - NCTUNetwork Anomaly Detection Challenge |
| Session Type: Poster |
| Time: Monday, 7 June, 13:00 - 14:45 |
| Location: Zoom |
| Virtual Session: View on Virtual Platform |
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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 |
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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 |
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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 |
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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 |
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