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DDoS Attack Detection Using Three-State Partition Based on Flow Interaction.

, , , , and . FGIT-SecTech, volume 58 of Communications in Computer and Information Science, page 176-184. Springer, (2009)

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Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing., , , , , and . Secur. Commun. Networks, (2018)A Novel Optimized Asynchronous Federated Learning Framework., , , , , , , , , and 1 other author(s). HPCC/DSS/SmartCity/DependSys, page 2363-2370. IEEE, (2021)Foreground object structure transfer for unsupervised domain adaptation., , , , , and . Int. J. Intell. Syst., 37 (11): 8968-8987 (2022)A DRDoS Detection and Defense Method Based on Deep Forest in the Big Data Environment., , , , and . Symmetry, 11 (1): 78 (2019)Design and Test of the Intelligent Rubber Tapping Technology Evaluation Equipment Based on Cloud Model., , , and . ICCCS (1), volume 10602 of Lecture Notes in Computer Science, page 275-287. Springer, (2017)Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA., , , and . CoRR, (2019)A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning., , , , , and . CoRR, (2019)A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms., , , , , and . CoRR, (2022)Cooperative Detection Method for DDoS Attacks Based on Blockchain., , , , , , , , and . Comput. Syst. Sci. Eng., 43 (1): 103-117 (2022)MFAFNet: A Lightweight and Efficient Network with Multi-Level Feature Adaptive Fusion for Real-Time Semantic Segmentation., , , and . Sensors, 23 (14): 6382 (July 2023)