Technion students have developed a technology that makes it possible to identify who used the computer keyboard, according to the way they type. The prototype for a keystroke recognition system was developed by the students Ido Yariv and Mordechai Nisanzon under the guidance of Dr. Ran El-Yaniv and Professor Ron Meir, within the Data Mining Laboratory at the Faculty of Science
Avi Blizovsky
Who touched my keyboard?
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Technion students have developed a technology that enables the identification of the user on the computer keyboard, according to the way he types. The prototype of the "keyboard recognition" system was developed by the students Ido Yariv and Mordechai Nisanzon under the guidance of Dr. Ran El-Yaniv and Professor Ron Meir, within the data mining laboratory at the Faculty of Computer Science.
"It turns out that each of us types on the keyboard in a slightly different way, which is enough to identify it with great precision," the students explain. "Through the use of computer learning technologies, it is possible to "teach" the computer what the typing style of each user is, and provide it with the "ability" to identify with great precision the user typing on the computer, at a certain moment." The students were able to demonstrate the real-time recognition capabilities of different keyboards.
It was clarified that this is an idea with high application potential, since, based on this idea, it is possible to develop security systems for computers that will operate in the background, and identify in real time the user typing at a certain moment. These systems can, with the help of software alone, warn of physical access to protected computers, without the need for additional special equipment. Potential hackers will find it difficult to trick systems protected by this technology, as they will not be able to type in exactly the same way as the authorized users.
The developed technology can also be expanded, for behavioral identification (behaviometric) of users in other systems, by detecting their interaction with the system. Thus, for example, it will be possible to identify drivers who are not authorized to drive vehicles, or pilots who are not authorized to fly airplanes.
Drafting and editing: H. J. Glykasm, translations and technical writing
Robotics and artificial intelligence expert
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