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\begin{document}

\title{}



\author[1]{Dhruva Shaw}%
\author[2]{Parshuram Krishna Toraskar}%
\author[3]{Ashish Arabelli}%
\author[3]{Amit Kumar Choudhary}%
\affil[1]{Robotics and Automation, Lovely Professional University Jalandhar}%
\affil[2]{Robotics and Automation Lovely Professional University Jalandhar, Amit Kumar Chowdhary Electronics and Communication Engineering Lovely Professional University Jalandhar}%
\affil[3]{Electronics and Communication Engineering Lovely Professional University Jalandhar}%


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  \date{June 14, 2024}


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\begin{abstract}
A crucial security feature called multifactor authentication (MFA) is
intended to improve the security of sensitive data and digital
identities. By employing many levels of authentication to confirm a
user's identity, it greatly increases the difficulty for unauthorized
users to access systems and data. Recent advancements in machine
learning (ML) and artificial intelligence (AI) have strengthened MFA
systems and improved their usability and security.%
\end{abstract}%



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