An Effective Eye-Blink-based Cyber Secure PIN Password Authentication System

Abstract

Cyberattack is an intentional and malicious attempt by a person to hack other person’s system, organizational information. The use of a pin for user authentication is a common method used in most of the systems such as locking and unlocking of private devices and doors. With an ever increasing network standards like 5G, new processes and procedures having less controlled environments, it is becoming an easy opportunity for a hacker to carry out the malicious attacks on the credentials of a person like bank details, organizational confidential information which use password-based system and are easy to hack and leak the confidential information. Password-based attack is where a person tries to hack a person’s password such as phishing attack, wherein a trustworthy person sends a fraudulent email or message, man-in-the-middle attack, brute force attack. Hence, a stronger password-based system needs to be designed to avoid such cybercrimes, which motivates for the implementation of this proposed work. This work proposes an eyeblink-based cyber-secure PIN password authentication system that uses blinking eye in the successive frames of an image captured for creating a PIN password. Virtual keypad is used by the user to enter his/her sensitive input; this virtual keypad uses orientation of eyes, gazing position on the virtual keypad screen. Captured information has been processed using machine learning and image processing algorithms for effective authentication. Implementation results have shown the strength of this proposed password system and its effective application avoiding the most frequent slippery slopes and follow-up attacks.