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IEEE/ICACT20220029 Slide.13        [Big Slide]       [YouTube]	Oral Presentation
	In this paper, we proposed an incremental learning approach (UFILA) for Android malware detection and classification. We used classifiers and a feature update function. We evaluated UFILA using four separate feature datasets from the same malware and benign dataset. Our proposed approach outperforms many automatic malware detection approaches in the literature In our future work, we plan to improve and optimize the update function.

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