Research on Self-Powered Sensors For User Authentication got featured on University Portal and National News Portals
Our latest research on self-powered sensors for user authentication got featured on University portal and different national news portals. Cyberattack is one of the severe threats in the digital world at it encompasses everything related to personal information, health, finances, intellectual properties, and even national security. Password-based authentication is the most practiced authentication system, however, is vulnerable to several attacks such as dictionary attack, shoulder surfing attack, and guessing attack. Here, a new keystroke dynamics offer behavioral and contextual information that can distinguish and authorize the individuals based on their typing rhythms. The hybrid electromagnetic-triboelectric nanogenerators/sensors efficiently convert the keystroke mechanical energy into electrical signals, which are fed into and artificial neural network based AI system. The self-powered hybrid sensors-based biometric authentication system integrated with a neural network achieves and accuracy of 99% and offers a promising hybrid security layer against password vulnerability.
Featured in Kwangwoon University
National Media Coverages:
https://www.fnnews.com/news/202106231428131309
https://lifenlearning.chosun.com/pan/site/data/html_dir/2021/06/23/2021062300729.html
https://www.joongang.co.kr/article/24089259#home
http://www.m-i.kr/news/articleView.html?idxno=839768
http://news.unn.net/news/articleView.html?idxno=511063
https://www.asiatime.co.kr/article/20210623500041
https://news.mt.co.kr/mtview.php?no=2021062418078254714
https://v.kakao.com/v/20210624180738496
https://news.v.daum.net/v/20210624180738496
