International Journal of Science, Engineering and TechnologyAuthors: Ramineni Teja, Sankalp Bhawsar
Abstract: Passwords alone are no longer enough to keep systems secure in today’s rapidly changing cybersecurity land- scape. This study explores a smarter approach using biometric based multifactor authentication (MFA), focusing on how people interact with devices such as their typing patterns, mouse move- ments, and touch behavior. By combining these behavioral traits with machine learning, the system can continuously verify users with over 97 Percentage accuracy, without interrupting their experience. The research also looks at important challenges like preventing spoofing attacks, protecting user privacy, and ensuring the system can scale effectively. Overall, the findings suggest that behavioral biometrics can play a key role in building more secure and userfriendly authentication systems for the future.
DOI: http://doi.org/10.5281/zenodo.20201223
