Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan
Mobile devices have experienced tremendous growth during the past ten years. As gadgets become more pervasive and people save more sensitive data on their mobile devices, the prevalence of mobile malware has increased. Malicious software, commonly known as malware, poses a greater risk to these mobi...
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Format: | Student Project |
Language: | English |
Published: |
2022
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Online Access: | https://ir.uitm.edu.my/id/eprint/83340/2/83340.pdf https://ir.uitm.edu.my/id/eprint/83340/ |
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