Even among the dots and dashes, you can recognize the hand of a radio operator. And by the style of typing on a computer keyboard, it has become possible to determine the author of the text with almost 100% accuracy.

As a result, we obtain another method of identification and authentication.

It is no secret that online accounts are often hacked, and cybercriminals communicate using a nickname familiar to you. Sometimes, they may even pretend to be you. Haven’t you already had situations where “you” supposedly asked all your friends and contacts from your address book to lend you money?

So far, Speclab has developed this neural network technology for computer keyboards on PCs. The next step is the creation of Android and iOS applications that will be able to recognize typing patterns on mobile devices.

It will become possible to know with complete certainty who is communicating with you on Viber or Telegram. In an era of widespread online fraud, such protection may play a crucial role. At least until someone manages to find a way around it—if that is possible at all, because this technology is already close to biometrics. More accurately, it can be called dynamic biometrics.

Speclab’s neural network also makes it possible to protect documents not just with a digital signature, which could also be stolen by someone else, but through the very fact that you personally wrote the text. The level of protection is significantly higher—it is no longer as simple as inserting a USB drive containing an electronic digital signature.

Even password entry can now be replaced with typing any sequence of characters. There is no longer any need to remember passwords. It is enough to type a short text—the system will identify the user by their typing behavior.

This is achieved using either a PC software application or videoblazer, which is capable of analyzing more than 200 data streams.

How much longer do we have to struggle with countless passwords required for so many websites on the Internet? Now, simply by typing our own first and last name, we can identify a person—even if they type someone else’s information.

Pavel Lapshin
=Speslab=

The keyboard also has its own handwriting