December 27, 2017, Nanyang Technological University
Instruments in smart phones such as the accelerometer, gyroscope and proximity sensors represent a potential security vulnerability, according to researchers from Nanyang Technological University, Singapore (NTU Singapore), whose research was published in the open-access Cryptology ePrint Archive on 6 December.
Using a combination of information gathered from six sensors found in smart phones and state-of-the-art machine learning and deep learning algorithms, the researchers succeeded in unlocking Android smart phones with a 99.5 percent accuracy with only three tries, when tackling a phone that had one of the 50 most common PIN numbers.
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