Machine learning for attacking gesture-based phone unlocking project
Nowadays, a smartphone contains numerous instruments, such as the accelerometer, gyroscope and proximity sensors, or the classical microphone or camera. While these instruments are the basis of the smartphone functionalities, they represent a potential security vulnerability if an attacker can have...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148511 |