In today's digital world, it is increasingly important to generate secure
passwords to protect against hacking and identity theft. The GIBP (Grassmann
algorithm using Illusion pin with Brightness Password generation) approach creates
secure passwords by using the Grassmann algorithm, which combines random
characters and patterns to form unique passwords. The GIBP, with a strong password,
adds an extra layer of security through multi-factor authentication. One popular
multifactor authentication method is facial recognition technology, which involves
scanning the user's face to confirm their identity. While combining GIBP with the
Grassmann algorithm and facial recognition technology, users can generate highly
secure passwords that are unique and difficult to crack. In addition, the use of
multifactor authentication provides an extra layer of security, making it even more
difficult for hackers to gain access to sensitive information. Overall, the GIBP with
secure password generation and multifactor authentication is essential in today's digital
world to protect against cyberattacks’ ever-increasing threats. The evaluation
parameters include time taken, speed of operation for clustering, speed for face
recognition, and time taken for training. The proposed method provides 99% accuracy
and takes less time to capture images that are less than 1 ms. The proposed method is
compared with three other methods and produces good results.
Keywords: GIBP, Grassman algorithm, Multi-factor authentication, Password, Security.
