Prof. Park Jae-Young’s Research Team Develops a Smart Keyboard That Can Identify and Authenticate Users

[Professor Park Jae-young (left) and Dr. Pukar (right)]

Professor Park Jae-Young's research team (Department of Electronic Engineering) at the university succeeded in developing a 'hybrid nano-generator-based unpowered smart keyboard' that dramatically improved security technology by introducing a technology that enables personal identification by introducing artificial intelligence (AI) the moment you use the keyboard. .

Cyber-attacks such as hacking and voice phishing are considered a deadly threat in the modern society where all data such as personal information, health information, financial information, and national security are digitized. However, password-based security, which is currently most widely used, is vulnerable to cyber-attacks such as hacking and voice phishing, and there is a disadvantage in that security is penetrated because passwords can be easily leaked.

This research team successfully developed a new concept of user identification and authentication security technology by combining keystrokes dynamics-based electromagnetic force-friction electricity hybrid nanogenerator and artificial intelligence (AI) technology.

Keystrokes dynamics technology provides information that can identify individuals according to their typing rhythm behavior. An electrical signal generated in proportion to the key input mechanical energy is supplied to an artificial neural network-based artificial intelligence (AI) system and converted into biometric information to identify an individual. It has been successfully proved that the security of the existing password-based security method can be greatly improved by showing a high accuracy of 99% in an experiment in which several experiment participants input a common password to authenticate and identify users.

Since the smart keyboard developed by this research team is used at the same time as the password security method, it can protect information double and provide much higher accuracy compared to other individual sensor-based security methods. In addition, it is evaluated as a technology with high commercial potential because it can be manufactured with a 3D printer and can be easily installed on a commercial keyboard.

Through this study, the research team showed a new possibility of a high cyber security layer that can safely protect information and identify and authenticate users even if passwords are leaked using a battery-free, key-input dynamics-based hybrid nanogenerator.

Meanwhile, this research was carried out with the Ministry of Science and ICT's Bio and Medical Technology Development Project (NRF-2017M3A9F1031270) and the National Research Foundation of Korea (NRF-2020R1A2C2012820). Wiley-VCH) published in the June issue of Advanced Science (IF: 15.84).

[Conceptual diagram of ‘Hybrid Nano Generator-Based Unpowered Smart Keyboard’ that can be used for personal identification by analyzing password input pattern through artificial neural network-based AI and converting it into biometric information]