A robust method for malware analysis using stacking classifiers and dendrogram visualization
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-01982-z.pdf
Reference49 articles.
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3. Sihwail R, Omar K, Ariffin Z, Akram K (2019) Malware detection approach based on artifacts in memory image and dynamic analysis. Appl Sci. https://doi.org/10.3390/app9183680
4. Taha A, Barukab O (2022) Android malware classification using optimized ensemble learning based on genetic algorithms. Sustainability 14:1–11. https://doi.org/10.3390/su142114406
5. Dhanya L, Chitra R, Anusha-Bamini AM (2022) Performance evaluation of various ensemble classifiers for malware detection. Mater Proc 62(7):4973–4979. https://doi.org/10.1016/j.matpr.2022.03.696
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