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Proceedings ArticleDOI

Generation of Cancelable Iris Template Using Bi-level Transformation

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TLDR
The proposed bi-level transformation applied at feature-level provides better robustness and security against correlation attacks, and generates revocable templates for Cancelable biometric templates.
Abstract
Cancelable biometric system is a transformation technique for securing biometric templates. This work proposes application of bi-level template securing technique at feature-level, and generates revocable templates. The bi-level transformation includes Discrete Fourier Transform and partial Hadamard based transformations on iris features, using user-specific key. The proposed bi-level transformation applied at feature-level provides better robustness and security against correlation attacks. A comprehensive analysis has been performed on the proposed approach to study the non-invertibility, diversity, revocability and matching performance on iris samples. The experimental results show that the proposed approach is promising, and deliver good performance.

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Citations
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Journal ArticleDOI

Generation of Cancelable Iris Templates via Randomized Bit Sampling

TL;DR: This paper has generated cancelable IrisCode features, coined as locality sampled code (LSC), which simultaneously provides strong security guarantees and satisfactory system performance, and formally analyzed the security guarantees of non-invertibility, revocability, and unlinkability.
Journal ArticleDOI

Privacy-preserving iris authentication using fully homomorphic encryption

TL;DR: This work proposes a novel privacy-preserving iris authentication using fully homomorphic encryption which ensures the confidentiality of the templates and restricts the leakage of data from the templates.
Journal ArticleDOI

BMIAE: blockchain-based multi-instance Iris authentication using additive ElGamal homomorphic encryption

TL;DR: Experimental results show that BMIAE provides improved accuracy, and eliminates the need to trust the centralised server when compared to the state-of-the-art approaches.
Journal ArticleDOI

Partial DCT-based cancelable biometric authentication with security and privacy preservation for IoT applications

TL;DR: The experimental results and analysis prove that proposed approach performs user authentication with high accuracy and minimal overhead while preserving security and privacy of sensitive cancelable biometric templates.
Journal ArticleDOI

Privacy-preserving and verifiable multi-instance iris remote authentication using public auditor

TL;DR: This work proposes a privacy-preserving and verifiable multi-instance iris authentication using public auditor (PviaPA), and demonstrates that PviaPA provides privacy to the iris templates with no loss in the accuracy as well as trust on the comparator result.
References
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Journal ArticleDOI

Generating Cancelable Fingerprint Templates

TL;DR: This paper demonstrates several methods to generate multiple cancelable identifiers from fingerprint images to overcome privacy concerns and concludes that feature-level cancelable biometric construction is practicable in large biometric deployments.
Journal ArticleDOI

Biometric perils and patches

TL;DR: Biometrics authentication systems suffer from some inherent biometrics-specific security threats, mainly related to the use of digital signals and the need for additional input devices, though the also discuss brute-force attacks of biometric systems.
Proceedings ArticleDOI

Biometric encryption using image processing

TL;DR: In this paper, the consistency of the output pattern and the security of the filter function are discussed, and the two topics discussed in this paper are the consistency and security of filter function.
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