Privacy-preserving iris authentication using fully homomorphic encryption

Morampudi, Mahesh Kumar; Prasad, Munaga V. N. K.; Raju, U. S. N.

doi:10.1007/s11042-020-08680-5

Cited by 45 publications

(23 citation statements)

References 44 publications

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“…The proposed method achieves an EER% of 0.08, 0.101, and 0.21, which is significantly lower compared with the existing techniques on the mentioned traits. Even the approaches such as Gomez-Barrero et al 28 and Mahesh et al 29 when performed on Children Multimodal Biometric Dataset (CMBD) dataset gives an EER % of 0.123 and 0.23, respectively, and Khoo et al 13 when performed on CASIA V3 24 and FVC 2002 25 gives an EER of 0.8, and Walia et al 15 when performed on CASIA V3 24 and FVC 2006 26 gives an EER of 2.35, which shows that our proposed method outperforms the existing techniques.…”

Section: Discussionmentioning

confidence: 99%

Cancelable scheme for bimodal biometric authentication

et al. 2023

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.The use of a biometric authentication system (BAS) for reliable automatic human recognition has increased exponentially over traditional authentication systems in recent years. Multimodal BAS was introduced to solve unimodal BAS’s difficulties and improve security. Privacy and security are two significant concerns to be addressed in BAS, as biometric traits are irrevocable. Researchers employed cancelable biometrics in the past few years to propose several privacy-preserving BAS. We propose a privacy-preserving bimodal cancelable BAS (PPBCBAS) to overcome these problems. The traits used in our method are iris and fingerprint. Features are extracted from both the traits, and feature level fusion is done by concatenating the feature vectors of iris and fingerprint. PPBCBAS uses a quotient filter to generate the cancelable template, and the comparison is made on these transformed templates using the modified Hamming distance. PPBCBAS has been tested on three publicly available databases to analyze its efficiency. PPBCBAS satisfies the diversity, irreversibility, and revocability properties and achieves decent performance.

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Section: Discussionmentioning

confidence: 99%

Cancelable scheme for bimodal biometric authentication

et al. 2023

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“…A method of privacy policy-preserving iris verification employing completely homomorphic encryption further guarantees privacy and security of templates and prohibits data leaks from templates. It fulfills all of the criteria set out in ISO/IEC 24745 [21]. To address privacy problems in template matching, template security methods, such as cancelable biometrics, have been implemented.…”

Section: Related Workmentioning

confidence: 99%

Robust Authentication System with Privacy Preservation of Biometrics

Patil¹,

Raut²,

Jhaveri

et al. 2022

Security and Communication Networks

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IoT-based multi-biometric system is a blend of multiple biometric templates that can be used for user authentication/verification using sensors. The leakage of the biometric trait information may cause critical privacy and security issues. It is expected to protect the privacy details of individuals through the irreversibility, unlinkability, and renewability of multi-biometric templates used in the authentication system. This study presents a robust authentication system with secure multi-biometric template protection techniques based on discrete cosine transform feature transformation and Lagrange’s interpolation-based image transformation. Three biometric traits namely iris, fingerprint, and palm print are recorded using sensors to validate the proposed multi-biometric template protection system. The fusion of all traits used is giving an average of 95.42% genuine acceptance rate and an average of 4.57% false rejection rate. Despite any number of biometric templates used for authentication, the proposed image transformation techniques keep the size of the final storage requirement as 8 X 8, which achieves constant space complexity (O(1)). The stored template is not linked with original templates; it is irreversible and renewable as new enrolment of the same individual will produce a new template every time. Overall, the proposed technique provides a secure authentication system with high accuracy, a constant size database, and the privacy preservation of biometric traits.

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“…Therefore, it is important that biometric protection techniques are employed. One approach that can be used to avoid storing biometric data is through the use of homomorphic encryption [43]. In such a scheme, performing an operation on the encrypted data is equivalent to performing the same operation on the plaintext.…”

Section: Physical Unclonable Functions and Biometricsmentioning

confidence: 99%

Physical Layer Security - from Theory to Practice

Mitev¹,

Pham²,

Chorti³

et al. 2022

Preprint

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<p>A large spectrum of technologies are collectively dubbed as physical layer security (PLS), ranging from wiretap coding, secret key generation (SKG), authentication using physical unclonable functions (PUFs), localization / RF fingerprinting, anomaly detection monitoring the physical layer (PHY) and hardware. Despite the fact that the fundamental limits of PLS have long been characterized, incorporating PLS in future wireless security standards requires further steps in terms of channel engineering and pre-processing. Reflecting upon the growing discussion in our community, in this critical review paper, we ask some important questions with respect to the key hurdles in the practical deployment of PLS in 6G, but also present some research directions and possible solutions, in particular our vision for context-aware 6G security that incorporates PLS. </p>

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Privacy-preserving iris authentication using fully homomorphic encryption

Cited by 45 publications

References 44 publications

Cancelable scheme for bimodal biometric authentication

Cancelable scheme for bimodal biometric authentication

Robust Authentication System with Privacy Preservation of Biometrics

Physical Layer Security - from Theory to Practice

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