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A DRDoS Detection and Defense Method Based on Deep Forest in the Big Data Environment.

R. Xu, J. Cheng, F. Wang, X. Tang, и J. Xu. ICA3PP (Workshops), том 11338 из Lecture Notes in Computer Science, стр. 165-176. Springer, (2018)

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Tang Tang

Fei Tang

Junhua Tang

Jian Tang

Xiaofang Tang

Другие публикации лиц с тем же именем

DDoS Attack Situation Information Fusion Method Based on Dempster-Shafer Evidence Theory.W. Guo, X. Tang, J. Cheng, J. Xu, C. Cai, и Y. Guo. ICAIS (4), том 11635 из Lecture Notes in Computer Science, стр. 396-407. Springer, (2019)A Security Situation Assessment Method Based on Neural Network.X. Tang, M. Chen, J. Cheng, J. Xu, и H. Li. CSS (2), том 11983 из Lecture Notes in Computer Science, стр. 579-587. Springer, (2019)DDOS Multivariate Information Fusion Model Based on Hierarchical Representation Learning.X. Tang, Y. Zhang, J. Cheng, J. Xu, и H. Li. CSS (2), том 11983 из Lecture Notes in Computer Science, стр. 57-66. Springer, (2019)DDoS Attack Security Situation Assessment Model Using Fusion Feature Based on Fuzzy C-Means Clustering Algorithm.R. Zhang, J. Cheng, X. Tang, Q. Liu, и X. He. ICCCS (2), том 11064 из Lecture Notes in Computer Science, стр. 654-669. Springer, (2018)Design and Verification of a Security Policy to Defense DDoS Attack for Cloud Robot.B. Liu, X. Tang, J. Cheng, и J. Chen. ICCCS (2), том 11064 из Lecture Notes in Computer Science, стр. 718-730. Springer, (2018)A Review of Relationship Extraction Based on Deep Learning.G. Liao, X. Tang, T. Li, L. Zhong, и P. Zeng. IAIC (1), стр. 73-84. (2023)PIAENet: Pyramid integration and attention enhanced network for object detection.X. Tang, W. Xu, K. Li, M. Han, Z. Ma, и R. Wang. Inf. Sci., (2024)Design and Test of the Intelligent Rubber Tapping Technology Evaluation Equipment Based on Cloud Model.J. Cheng, K. Cai, B. Liu, и X. Tang. ICCCS (1), том 10602 из Lecture Notes in Computer Science, стр. 275-287. Springer, (2017)A Traffic-Congestion Detection Method for Bad Weather Based on Traffic Video.J. Cheng, B. Liu, и X. Tang. ISICA, том 575 из Communications in Computer and Information Science, стр. 506-518. Springer, (2015)MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition.J. Liu, J. Cheng, X. Peng, Z. Zhao, X. Tang, и V. Sheng. KSII Trans. Internet Inf. Syst., 16 (6): 1833-1848 (2022)

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