According to the findings of new research from the Binghamton University and the Stevens Institute of Technology with the help of certain and specific algorithms can discover the PIN ATMs of our prepaid card through tracing movements by smartwatch when we type at ATMs. Substantially monitoring the logs of all tracked movements dall’eccelerometro and gyroscope, the researchers achieved an accuracy of 80%. To detect the Pin code would be the motion sensors Integrated in almost all wearable devices, such as smart watches and fitness bracelets. And ‘this substantially as highlighted by a study carried out by the Binghamton University in the US, and specifically the researchers showed that the sensors could be so precise to track the movements of the hand and can give possibility attackers to reproduce gestures made on the keyboard of an ATM and thus access to a bank account.
the researchers in question to verificar this hypothesis have used an algorithm that has proven able to decipher the passwords for
” the team was able to record information millimetric level of hand movements thanks to the information of accelerometers, gyroscopes and magnetometers placed inside of wearable technology “, they added researchers which also did not want to reveal how smartwatch they have carried out their tests in order not to create panic among users. At the moment it seems that no smartwatch manufacturer monitors this type of data or rather it does but with the sole purpose of stealing your credentials but to understand what could be the improvements to be made in a new generation possible. Therefore, on the basis of what was mentioned by researchers in question, it seems that the only solution to not be “scrubbed” is to not enter the Pin with the hand on which you bring wearable.
research has tested three different security systems, including ATMs, keeping under observation the movements of 20 guinea pigs registered through accelerometers, gyroscopes and magnetometers integrated into various wearable devices worn for 11 months, regardless of the position of the hand . The US university researchers have therefore used an algorithm that has proven able to decipher the passwords for input systems of secret codes, including the ATM. A result that warns about the risk of hackers who could thus infect devices via viruses or intercept Bluetooth connections of smartwatch in an attempt to get hold of the data.
The research team admits to not have a solution, but suggests
developers to pay more attention to the systems to implement the encryption system to ensure greater security in communication between wearable and operating system. The study was partly funded by the National Science Foundation and the Army Research Office.
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