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Dynamic Adjusting ABC-SVM Anomaly Detection Based on Weighted Function Code Correlation., , , , , and . ML4CS (1), volume 12486 of Lecture Notes in Computer Science, page 1-11. Springer, (2020)A proactive discovery and filtering solution on phishing websites., , , , and . IEEE BigData, page 2348-2355. IEEE Computer Society, (2015)A Worm Behavioral Approach to Susceptible Host Detection., , and . GCC, volume 3795 of Lecture Notes in Computer Science, page 77-83. Springer, (2005)A comprehensive analytical model of user influence in the social networks., , , and . Int. J. Wirel. Mob. Comput., 17 (2): 142-148 (2019)Research on Webpage Similarity Computing Technology Based on Visual Blocks., , , and . SMP, volume 489 of Communications in Computer and Information Science, page 187-197. Springer, (2014)Analysis of Recent Deep-Learning-Based Intrusion Detection Methods for In-Vehicle Network., , , and . IEEE Trans. Intell. Transp. Syst., 24 (2): 1843-1854 (February 2023)GNN-based Advanced Feature Integration for ICS Anomaly Detection., , , , , and . ACM Trans. Intell. Syst. Technol., 14 (6): 106:1-106:32 (December 2023)A novel classification model of collective user web behaviour based on network traffic contents., , , and . IET Networks, 10 (4): 173-184 (2021)A Deep Learning Approach to Detect Anomaly in Software-Defined Network., , , , , and . ICAIT, page 100-106. IEEE, (2020)Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder., , , , and . Symmetry, 15 (3): 568 (February 2023)