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 Dec.
Using a combination of information gathered from six different 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 per cent accuracy within only three tries, when tackling a phone that had one of the 50 most common PIN numbers. Read Article: https://www.sciencedaily.com/releases/2017/12/171226134614.htm Comments are closed.
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AuthorBrady Aldinger |