Researchers at Nanyang Technological University in Singapore have developed a “deep-learning” for cracking into smart phones running the Android OS which has a “99.5 percent” effective rate after only three attempts, according to a new study reported by the Daily Mail.
The method uses an algorithm to reveal a person’s passcode using the phone’s six built-in sensors, which analyzes the unique tilt of the phone and how much light is being blocked while a person enters their four-digit pin.
Co-author of the study Dr Shivam Bhasin from Nanyang Technological University, Singapore (NTU Singapore) said: ‘When you hold your phone and key in the PIN, the way the phone moves when you press 1, 5, or 9, is very different.
‘Likewise, pressing 1 with your right thumb will block more light than if you pressed 9.’ –Daily Mail
Researchers developed a custom Android application which analyzes data from a phone’s accelerometer, gyroscope, magnetometer, proximity sensor, barometer and ambient light sensor – in a method which can be used to guess all 10,000 possible combinations of four-digit PINs.
This post was published at Zero Hedge on Fri, 12/29/2017 –.