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IEEE/ICACT20240309 Slide.06        [Big Slide]	Oral Presentation
	Chen et al. analyzed network traffic and employed machine learning methods to identify abnormal behavior and detect malicious apps. They used imbalanced classification methods, including the Synthetic Minority Oversampling Technique combined with Support Vector Machine, SVM Cost-Sensitive, and C4.5 Cost-Sensitive methods. While this approach performed well with highly imbalanced training data, its performance became unstable when the dataset's imbalance ratio was under 1000.

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