| Issue |
Security and Safety
Volume 5, 2026
|
|
|---|---|---|
| Article Number | 2026003 | |
| Number of page(s) | 17 | |
| Section | Other Fields | |
| DOI | https://doi.org/10.1051/sands/2026003 | |
| Published online | 29 January 2026 | |
Research Article
Understanding biometric-based systems for detecting and preventing cyber-attacks: Current trends, emerging technologies, and synthetic biometrics
Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani 333031, India
* Corresponding author (email: This email address is being protected from spambots. You need JavaScript enabled to view it.
)
Received:
10
August
2025
Revised:
19
December
2025
Accepted:
22
January
2026
Abstract
Today, everyone is heavily dependent on computers, mobile devices, and digital systems/applications to store, access, and transmit their data and personal information. On the other hand, cybersecurity threats, exploitation of digital systems, and new, complex cyberattacks are evolving daily. This requires a growing need for innovative approaches to protecting data beyond traditional methods. The study explores the use of biometric systems in cybersecurity for the prevention and detection of cyberattacks by integrating them for authenticating and authorizing individuals. Biometric authentication is used to verify an individual’s identity and grant them access based on their roles or authorizations. The paper focuses on understanding current trends and emerging technologies in biometric systems, while recognizing that these systems are not immune to cyberattacks. Can synthetic biometric data that is generated using virtual identities be an option to be considered to minimize the risk of exposing user identity in the event of a data breach, and as a means to preserve privacy, be explored as part of this research? A qualitative study is carried out using existing literature and analyzed based on the generated themes. The outcome of the study resulted in a multi-layered conceptual framework integrating the modalities of biometric systems with synthetic data and a model offering a feedback loop that can enhance operational efficiency and cultivate user trust and resilience. The study also provides insights relevant to businesses and researchers to build their systems and enhance research from a user perspective.
Key words: Biometric systems / Cyber-attack detection and prevention / Cybersecurity / Synthetic biometrics
Citation: Vijaykumar P and Kashikar P. Understanding biometric-based systems for detecting and preventing cyber-attacks: Current trends, emerging technologies, and synthetic biometrics. Security and Safety 2026; 5: 2026003. https://doi.org/10.1051/sands/2026003
© The Author(s) 2026. Published by EDP Sciences and China Science Publishing & Media Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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