Mulagala Sandhya

dblp:164/9139 · DBLP profile ↗
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5ranked-venue papers
3as first author
3since 2021 · last 2025
0000-0003-2149-8584ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorSecurity and privacy · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2025 Enhancing fingerprint template security using elliptic curve cryptography and fuzzy vault encoding
Praphul Kumar Maurya, Mulagala Sandhya, I. Hhntv Prasad, Nallaparaju V. Suryanarayanaraju
J. Inf. Secur. Appl.2
2023 Multi-instance cancelable iris authentication system using triplet loss for deep learning models
Mulagala Sandhya, Mahesh Kumar Morampudi, Indragante Pruthweraaj, Pranay Sai Garepally
Vis. Comput.1
2022 Securing multimodal biometric template using local random projection and homomorphic encryption
Dilip Kumar Vallabhadas, Mulagala Sandhya
J. Inf. Secur. Appl.2
2018 Multi-algorithmic cancelable fingerprint template generation based on weighted sum rule and T-operators
Mulagala Sandhya, Munaga V. N. K. Prasad
Pattern Anal. Appl.1
2017 Cancelable Fingerprint Cryptosystem Using Multiple Spiral Curves and Fuzzy Commitment Scheme
abstract
The increased use of biometric-based authentication systems in a variety of applications has made biometric template protection an important issue. Unlike conventional systems, biometric cannot be revoked or changed. This made template protection a critical issue to be considered in the recent years. This paper proposes a cancelable fingerprint cryptosystem using multiple spiral curves and fuzzy commitment scheme. The method is built by combining cancelable biometrics and biometric cryptosystems. First, we compute transformed minutiae features using multiple spiral curves. Further, these transformed features are encrypted using fuzzy commitment scheme. Hence, a secure template is obtained. Experimental results and analysis prove the credibility of proposed method with recently presented methods of fingerprint template protection.
Mulagala Sandhya, Munaga V. N. K. Prasad
Int. J. Pattern Recognit. Artif. Intell.1