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A bibliometric analysis of Homomorphic Encryption for privacy-preserving biometrics | Synapse
March 3, 2026
A bibliometric analysis of Homomorphic Encryption for privacy-preserving biometrics
SS
Shreyansh Sharma
NIIT (India)
AM
Anurag Mudgil
RD
Richa Dubey
Indian Institute of Technology Jodhpur
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Key Points
Privacy-preserving biometrics significantly enhance data protection in various applications.
Homomorphic encryption contributes to secure biometric data processing while preserving user privacy.
This bibliometric analysis focuses on trends and contributions in the field of homomorphic encryption and biometrics.
Findings indicate a growing interest in security protocols, highlighting the importance of effective data protection.
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Cite This Study
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Sharma et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75a1fc6e9836116a1faaa
https://doi.org/https://doi.org/10.1016/j.compeleceng.2026.110969