A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning by Bin Jia, Xiaohong Huang, Rujun Liu, Yan Ma

“…Through the comparisons with Random Forest, k-Nearest Neighbor (k-NN), and Bagging comprising the component classifiers when the three algorithms are used alone by SVD and by un-SVD, it is shown that our model is superior to the state-of-the-art attack detection techniques in system generalization ability, detection stability, and overall detection performance.…”
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Enhancing adversarial transferability with local transformation by Yang Zhang, Jinbang Hong, Qing Bai, Haifeng Liang, Peican Zhu, Qun Song

“…Compared to the current state-of-the-art attack approaches, LTA achieves an increase of 7.9% in black-box attack performance. …”
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