Android malware detection: An in-depth investigation of the impact of the use of imbalance datasets on the efficiency of machine learning models
Publication Type
Conference Proceeding
Publication Date (Issue Year)
2023
Journal Name
2023 25th International Conference on Advanced Communication Technology (ICACT)
Abstract
Abstract
Keywords
Keywords
Rsif Scholar Name
Zakaria Sawadogo
Thematic Area
ICTs Including Big Data and Artificial Intelligence
Africa Host University (AHU)
University of Gaston Berger (UGB), Senegal
Recommended Citation
Sawadogo, Z. (2023). Android malware detection: An in-depth investigation of the impact of the use of imbalance datasets on the efficiency of machine learning models. 2023 25th International Conference on Advanced Communication Technology (ICACT), 1460-1467. https://doi.org/https://ieeexplore.ieee.org/document/10079245
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