Enhancing Data Protection through an Advanced Biometric Security Framework

Clicks: 69
ID: 309085
2025
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Ranked #5 of 11 articles by views in International Journal of Innovations in Engineering Technology and Applied Sciences

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Abstract
Data privacy has happened as a major concern for both individuals and corporations in this technologically advanced world. The persistent risk of individuality theft draws attention to the shortcomings of conventional security protocols like encrypted passwords and verified identification documents. This work offers a novel biometric security model that focuses on fingerprint identification in particular to solve the escalating cybersecurity challenges. Since each person's fingerprints are distinct, they have long been a trustworthy means of identifying themselves. Our study promotes the incorporation of fingerprint recognition into conventional password-based authentication procedures by utilizing its shown accuracy and effectiveness. Passwords and fingerprint recognition work together to protect sensitive data from theft and misuse by limiting access to it to authorized people only. The growing use of biometric data is being driven by the pressing need for strong information security. In addition to talking his dual objectives of user authentication and privacy, this study offers a thorough examination of biometrics as a viable substitute for conventional techniques. Excellent security against theft, loss, or unauthorized access is offered by biometric authentication based on a person's physical and behavioural traits. gives a thorough rundown and offers information about its advantages and disadvantages. By pointing out gaps and offering ideas for future research directions, this work supports continuing efforts to fix weaknesses in present authentication methods. In the digital age, the suggested biometric security approach is a significant step in improving data security and thwarting changing cyber threats.
Reference Key
imported_1761831404_690369ec2b746 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Aman Kumar, Subrata Sahana
Journal International Journal of Innovations in Engineering Technology and Applied Sciences
Year 2025
DOI
10.64764/tqvaag28
URL
Keywords Keywords not found

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