A comprehensive comparison of our proposed method against two deep learning baselines (BiLSTM and CNN-GRU) for the intrusion classification task. The evaluation was performed on five standard datasets, with metrics including Accuracy (ACC), Precision (PR), Recall (RE), and F1-Score.
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https://figshare.com/articles/dataset/A_comprehensive_comparison_of_our_proposed_method_against_two_deep_learning_baselines_BiLSTM_and_CNN-GRU_for_the_intrusion_classification_task_The_evaluation_was_performed_on_five_standard_datasets_with_metrics_including_Accuracy_ACC_Precis/30169300
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资源简介：
A comprehensive comparison of our proposed method against two deep learning baselines (BiLSTM and CNN-GRU) for the intrusion classification task. The evaluation was performed on five standard datasets, with metrics including Accuracy (ACC), Precision (PR), Recall (RE), and F1-Score.
创建时间：
2025-09-19
