Recently, a study has just discovered how a cyber crime can get our passwords and different private data, all through our own brain waves. This has been achieved thanks to the advances made in the field of “brain-machine” interactions, through which we are witnessing a new type of risk that affects the security of our data for its hacking due to the use of the brain waves. This has been discovered by Professor Nitesh Saxena from the University of Alabama at Birmingham, who has been able to demonstrate through various studies that malicious software can use these waves to guess passwords and other private data of the users themselves. This is achieved through the use of an algorithm that uses random text inputs and can make guesses, most of them correct, about the new characters that are introduced by a certain user, all based on the reading of their waves Cerebral. In fact this type of research ones in this field, we could call “brain-machine”, they are in constant growth. Recently we have talked about the work that is being developed in the popular social network Facebook to help us write texts in it with only the mind, without moving a single finger. On the other hand, we can also refer in this same field of study to the project known as Neutralink by Elon Musk, who would also be part of the same environment.
Theft of credentials through the brain waves
However, if all this goes on, as it is likely to happen, what about that relating to the security of the devices we will use? The same Professor Nitesh Saxena mentioned above, has carried out research that demonstrates how the devices of detection of brain waves can guess the PIN codes and passwords used by anyone. In particular in this case were used earphones with electrodes that detect the change of voltage in the outer layer of the brain. Thus, in the investigation to which we refer, the “victim” with these headphones stands by a game session to use a personal banking service, so malicious software associated with the device is able to detect personal credentials From the brainwaves of the same user. The software “learns” itself as you use this software connected to the sensors, increasing the percentage of success, and although it is still far from being a perfect method of hacking, it is still advancing in this field, for which is not known to what extent it will be possible to use this. So, what do you think about this? Simply share your views and thoughts in the comment section below.
