Abstract
Most typical authentication mechanisms in this digitized world use a username and password to protect information. Two-factor authentication (2FA) mechanisms were introduced to add an extra layer of security. As 2FA is vulnerable to advanced attacks such as real-time replay, multifactor authentications (MFA) are being introduced and require multiple factors or proofs of identity during authentication. Thus, herein, we propose a multifactor authentication methodology using text-based encryption with a self-generated algorithm-Twine and image encryption with GENETIC algorithms. In our approach, when a user attempts to register on a Web page, they must enter details along with essential user id and password, further taking them to an image selection page where they can choose the image of their choice as a second layer of the authentication protocol. Hence, when a user attempts a login into the portal, they can be provided with options to enter via a graphical or text-based password depending on the feasibility and usage of the Web page. The introduction of a lightweight cryptographic algorithm here ensures an improbable zone for machine guessing strategies, and an innovative component for the user’s password, since both graphical and textual, will be hashed and stored and will have no permanent space in the database. It is observed that graphical passwords are easier to use and remembrance. Hence, this could be the next revolution in admin panels for multitude of security driven purposes.
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Verma, S., Singh, M., Chaturvedi, K., Tripathy, B.K. (2023). An Efficient Multifactor Authentication System. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 725. Springer, Singapore. https://doi.org/10.1007/978-981-99-3734-9_10
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DOI: https://doi.org/10.1007/978-981-99-3734-9_10
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