A Secure Cancelable Fingerprint Authentication for Cloud Services

Traditional password-based authentication systems create difficulties for users while remaining vulnerable to security breaches. The solution under consideration establishes biometric-based cloud service access, which enables users to terminate their services whenever needed. The minutia cylinder code is a great local descriptor for fingerprint authentication in public databases. It meets security needs and protects privacy, while still using the advantages of biometric technology. The cancelable fingerprint template design has two key parts: a simple way to create cancelable features and a method for making adjustable, partial cancelable features. The first part employs encoding-nested-difference (XOR), while the second part contains a basic reindexing procedure. The implementation of the proposed template design has led to reduced public database storage requirements and time needs on FVC2002 DB1–DB3 and FVC2004 DB1–DB3, with a 0.21% false acceptance rate and a 0.2% improved EER, and TPR/TNR stood at 99% throughout testing. The system delivers improved security because both stolen biometric templates become useless along with the addition of new biometric samples during re-enrolment. The system implements multi-factor authentication by combining cancelable biometrics with multiple factors. The performance study demonstrates exceptional accuracy combined with minimum false acceptance and rejection rates, which makes it a good means for secure cloud access.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-02-19
DOI
https://doi.org/10.52783/jisem.v10i12s.1766
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Secure Cancelable Fingerprint Authentication for Cloud Services

M. Narender
Journal of Information Systems Engineering & Management
Biometric Identification and Security
article

A Secure Cancelable Fingerprint Authentication for Cloud Services

M. Narender
article en

Abstract

Traditional password-based authentication systems create difficulties for users while remaining vulnerable to security breaches. The solution under consideration establishes biometric-based cloud service access, which enables users to terminate their services whenever needed. The minutia cylinder code is a great local descriptor for fingerprint authentication in public databases. It meets security needs and protects privacy, while still using the advantages of biometric technology. The cancelable fingerprint template design has two key parts: a simple way to create cancelable features and a method for making adjustable, partial cancelable features. The first part employs encoding-nested-difference (XOR), while the second part contains a basic reindexing procedure. The implementation of the proposed template design has led to reduced public database storage requirements and time needs on FVC2002 DB1–DB3 and FVC2004 DB1–DB3, with a 0.21% false acceptance rate and a 0.2% improved EER, and TPR/TNR stood at 99% throughout testing. The system delivers improved security because both stolen biometric templates become useless along with the addition of new biometric samples during re-enrolment. The system implements multi-factor authentication by combining cancelable biometrics with multiple factors. The performance study demonstrates exceptional accuracy combined with minimum false acceptance and rejection rates, which makes it a good means for secure cloud access.

Journal of Information Systems Engineering & ManagementVol. 10(12s)
Openalex Percentile: Top 97%
Biometric Identification and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.