Open Access
American Research Journal of Computer Science and Information Technology
ISSN (Online): 2572-2921
DOI: 10.46568/arjcsit
Multi-Factor Authentication Based on Biometric Data
Software Development Engineer 3 at Expedia, Austin Texas, United States.
Asha Seshagiri, “Multi-Factor Authentication Based on Biometric Data”, American Research Journal of
Computer Science and Information Technology, Vol 7, no. 1, 2024, pp. 42-46.
Abstract
The article discusses aspects of multi-factor authentication (MFA) using biometric data, which is one of the most effective
methods of protecting information systems from unauthorized access. Traditional authentication methods such as
passwords are often vulnerable to various types of attacks, including phishing and brute force attacks. The introduction
of biometric data, such as fingerprints, and face and voice recognition, significantly increases the level of security due
to their uniqueness and complexity of forgery. The article highlights the advantages and challenges associated with
the integration of biometrics into MFA systems, including technical and organizational aspects. Examples of successful
application of biometric technologies in various fields are also considered and recommendations are given to improve
their reliability and ease of use. Special attention is paid to adaptive authentication and password-free methods, which
represent the future of cybersecurity.
