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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Biometric data and behavior analysis

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Lakshmi Narayana Gupta Koralla * 

Starbucks Coffee Company, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 339-350

Article DOI: 10.30574/wjarr.2025.26.1.1084

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1084

Received on 26 February 2025; revised on 03 April 2025; accepted on 05 April 2025

This comprehensive technical article explores the transformative impact of biometric data and behavior analysis on modern authentication and security frameworks. Examining the dichotomy between physical and behavioral biometric paradigms, it presents an in-depth analysis of market trends, technological advancements, implementation benefits, and regulatory considerations across diverse sectors. It highlights notable applications in financial services, healthcare, and government domains, demonstrating significant improvements in security posture, operational efficiency, and user experience. Advanced technologies, including deep learning algorithms, multimodal authentication systems, and privacy-preserving architectures, are examined for their contributions to improved performance metrics and enhanced security capabilities. The article addresses critical ethical and regulatory considerations, exploring emerging frameworks for responsible implementation while balancing innovation with privacy protection. By synthesizing current findings and industry implementations, this article provides a holistic view of the biometric technology landscape, its current state of deployment, and its future trajectory in an increasingly digitized global environment. 

Authentication; Behavioral biometrics; Privacy preservation; Multimodal systems; Continuous verification

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1084.pdf

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Lakshmi Narayana Gupta Koralla. Biometric data and behavior analysis. World Journal of Advanced Research and Reviews, 2025, 26(01), 339-350. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1084.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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