From 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 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.
The previous best phone-cracking success rate was 74 per cent for the 50 most common pin numbers, but NTU’s technique can be used to guess all 10,000 possible combinations of four-digit PINs.
Read more of this press release on ScienceDaily.