Secret Sharing based Secure Authentication System

Patil, Rupali; Patil, Sonali; Thepade, Sudeep D.

doi:10.5120/20875-3613

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Concerns about user privacy, massive databases, and centralized databases that can generate a security risk. Secret sharing divides a centralized database into different locations [22].…”

Section: Titlementioning

confidence: 99%

Secret Sharing Scheme with Fingerprint Authentication

Sarangaraja

Rajagopalan

Vignesh

et al. 2023

IoT, Cloud and Data Science

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Medical imaging is very important in medical diagnosis. X-rays, ultrasound images, CT scans, brain pictures, and patient mri images are examples of images that contain sensitive information. However, poor communication channels and loopholes in hospital and medical centre storage systems risk accessing these images by unauthorised individuals who utilise them for nefarious purposes other than diagnostics. Image encryption is a common strategy for enhancing the integrity of communication and storage channels for protecting medical images from unauthorized access. This task proposes a biometrics-based method of secret sharing. Instead of sharing secrets between participants as in encryption, the biometric properties of participants create a single biometric configuration. If the biometric vaults are verified for the required number of actual during the authentication process, participants must provide a valid encryption key from the configuration is disclosed.

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“…Concerns about user privacy, massive databases, and centralized databases that can generate a security risk. Secret sharing divides a centralized database into different locations [22].…”

Section: Titlementioning

confidence: 99%

Secret Sharing Scheme with Fingerprint Authentication

Sarangaraja

Rajagopalan

Vignesh

et al. 2023

IoT, Cloud and Data Science

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“…e system is composed of two modules: enrolment and authentication [10][11][12][13]. e literature demonstrates the need for a more robust way of protecting multi-biometric template data.…”

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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“…Sunhant et al [10] used visual cryptography to divide original images into different images but the shares image does not guide any information about original one, and for added more security by using asymmetric watermarking. Rupali et al [11] proposed that centraled database will be split by using secret sharing across different locations, this will reduce threats against the centralised database and reducing the size of database. Patel et al [12] illustrated that it is desirable to modify biometric patterns to prevent the theft of them through transforming them through revocable and noninvertible transformations to create cancelable biometric templates.…”

Section: Related Workmentioning

confidence: 99%

Biometric iris templates security based on secret image sharing and chaotic maps

Jassim

Hamzah²,

Shimal³

2022

IJECE

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Biometric technique includes of uniquely identifying person based on their physical or behavioural characteristics. It is mainly used for authentication. Storing the template in the database is not a safe approach, because it can be stolen or be tampered with. Due to its importance the template needs to be protected. To treat this safety issue, the suggested system employed a method for securely storing the iris template in the database which is a merging approach for secret image sharing and hiding to enhance security and protect the privacy by decomposing the template into two independent host (public) iris images. The original template can be reconstructed only when both host images are available. Either host image does not expose the identity of the original biometric image. The security and privacy in biometrics-based authentication system is augmented by storing the data in the form of shadows at separated places instead of whole data at one. The proposed biometric recognition system includes iris segmentation algorithms, feature extraction algorithms, a (2, 2) secret sharing and hiding. The experimental results are conducted on standard colour UBIRIS v1 data set. The results indicate that the biometric template protection methods are capable of offering a solution for vulnerability that threatens the biometric template.

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Secret Sharing based Secure Authentication System

Cited by 6 publications

References 7 publications

Secret Sharing Scheme with Fingerprint Authentication

Secret Sharing Scheme with Fingerprint Authentication

Robust Authentication System with Privacy Preservation of Biometrics

Biometric iris templates security based on secret image sharing and chaotic maps

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