A Biometric Security Model for The Enhancement of Data Security

In this modern world of technology, data protection has become a top concern for both individuals and businesses. The ever-present threat of identity theft highlights the limitations of traditional security measures such as encrypted passwords and authenticated IDs. This study addresses the growing challenges of cybersecurity by proposing a new biometric security model that specifically focuses on fingerprint recognition. Fingerprints are unique to each person and have historically served as a reliable method of personal identification. Our research leverages the proven accuracy and efficiency of fingerprint recognition and advocates its integration into traditional password-based authentication processes. The synergy of fingerprint recognition and passwords ensures that only authenticated users have access to sensitive information, protecting it from theft and misuse. The urgent need for robust information security is driving the increased adoption of biometric data. This paper addresses his twin goals of user authentication and privacy and provides an in-depth look at biometrics as a good alternative to traditional methods. Biometric authentication based on various physical and behavioural characteristics of people provides excellent protection against theft, loss, or unauthorized access. provides a comprehensive overview and provides insight into its effectiveness and limitations. This paper contributes to ongoing efforts to address vulnerabilities in current authentication systems by identifying gaps and suggesting directions for future research. The proposed biometric security model represents an important step towards enhancing data security and countering evolving cyber threats in the digital era.