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- W2898258005 abstract "In the world today, smartphones are evolving every day and with this evolution, security becomes a big issue. Security is an important aspect of the human existence and in a world, with inadequate security, it becomes an issue for the safety of the smartphone users. One of the biggest security threats to smartphones is the issue of malware. The study carried out a survey on malware detection techniques towards identifying gaps, and to provide the basis for improving and effective measure for unknown android malware. The results showed that machine learning is a more promising approach with higher detection accuracy. Upcoming researchers should look into deep learning approach with the use of a large dataset in order to achieve a better accuracy." @default.
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- W2898258005 date "2018-01-01" @default.
- W2898258005 modified "2023-10-14" @default.
- W2898258005 title "Android Malware Detection: A Survey" @default.
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- W2898258005 doi "https://doi.org/10.1007/978-3-030-01535-0_19" @default.
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