Biometric Authentication Systems: Security Concerns and Solutions

Bhartiya, Namrata; Jangid, Namrata; Jannu, Sheetal

doi:10.1109/i2ct.2018.8529435

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…Both the public and private sectors of the global economy are growing with the biometrics sector. According to a Gigya survey of 4,000 consumers in the United States and the United Kingdom, 52% of buyers would prefer utilizing biometrics instead of passwords and PINs [26].…”

Section: One-time Password (Otp)mentioning

confidence: 99%

“…Figure 2 -Comparison of market shares for various biometric authentication system [26] In general, biometric methods seek to recognize or confirm a person's identity using physical traits (such as a face, iris, fingerprint, DNA, or hand shape) and/or behavioural traits (such as speech, gait, or signature). For a fingerprint-based system, the pattern is established after birth, and even identical twins have unique fingerprints [9].…”

Section: One-time Password (Otp)mentioning

confidence: 99%

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SSO Based Fingerprint Authentication of Cloud Services for Organizations

Ali Zaheer Agha

2023

IJRITCC

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Access to a pool of programmable resources, such as storage space, applications, services, and on-demand networks, is made possible by cloud computing technology. Involving the cloud with the organization reduces its efforts to meet the needs of its customers. The Single Sign-On (SSO) method, which enables users to access various application services using a single user credential, is one of the key benefits of cloud computing. There are numerous problems and difficulties with cloud computing that need to be highlighted. However, protecting user agent privacy against security assaults is far more challenging. To combat security and privacy assaults, this study suggests SSO-based biometric authentication architecture for cloud computing services. Since end devices are computationally inefficient for processing user information during authentication, biometric authentication is effective for resources controlled by end devices at the time of accessing cloud services. As a result, the proposed design minimizes security attacks in cloud computing. An innovative strategy that establishes a one-to-one interaction between the user agent and the service provider is also included in the suggested design. In this case, user agents can use their fingerprint to access various cloud application services and seek registration. The highlights of the suggested architecture have been offered based on comparison analysis with a number of existing architectures.

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Section: One-time Password (Otp)mentioning

confidence: 99%

Section: One-time Password (Otp)mentioning

confidence: 99%

SSO Based Fingerprint Authentication of Cloud Services for Organizations

Ali Zaheer Agha

2023

IJRITCC

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“…The biometric authentication systems are more effective than conventional Personal Identification Number (PIN)/password-based authentication systems, which are not protected [18]. The authors of [19] presented a fusion-based multimodal system with enhanced verification accuracy, larger feature space, and higher security against spoofing than those of the unimodal biometric systems.…”

Section: Related Workmentioning

confidence: 99%

Efficient Generation of Cancelable Face Templates Based on Quantum Image Hilbert Permutation

et al. 2022

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The pivotal need to identify people requires efficient and robust schemes to guarantee high levels of personal information security. This paper introduces an encryption algorithm to generate cancelable face templates based on quantum image Hilbert permutation. The objective is to provide sufficient distortion of human facial biometrics to be stored in a database for authentication requirements through encryption. The strength of the proposed Cancelable Biometric (CB) scheme is guaranteed through the ability to generate cancelable face templates by performing the scrambling operation of the face biometrics after addition of a noise mask with a pre-specified variance and an initial seed. Generating the cancelable templates depends on a strategy with three basic steps: Initialization, Odd module, and Even module. Notably, the proposed scheme achieves high recognition rates based on the Area under the Receiver Operating Characteristic (AROC) curve, with a value up to 99.51%. Furthermore, comparisons with the state-of-the-art schemes for cancelable face recognition are performed to validate the proposed scheme.

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“…They achieved low computational complexity, high reliability, and high security. Namrata et al [ 26 ] presented a biometric authentication system to verify the identity of the user. Their proposed model uses the orientation values from a fingerprint and the minutiae from another fingerprint to generate the combined template in the enrollment phase.…”

Section: Introductionmentioning

confidence: 99%

Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

Algarni

Banby

Ismail

et al. 2020

Entropy

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The security of information is necessary for the success of any system. So, there is a need to have a robust mechanism to ensure the verification of any person before allowing him to access the stored data. So, for purposes of increasing the security level and privacy of users against attacks, cancelable biometrics can be utilized. The principal objective of cancelable biometrics is to generate new distorted biometric templates to be stored in biometric databases instead of the original ones. This paper presents effective methods based on different discrete transforms, such as Discrete Fourier Transform (DFT), Fractional Fourier Transform (FrFT), Discrete Cosine Transform (DCT), and Discrete Wavelet Transform (DWT), in addition to matrix rotation to generate cancelable biometric templates, in order to meet revocability and prevent the restoration of the original templates from the generated cancelable ones. Rotated versions of the images are generated in either spatial or transform domains and added together to eliminate the ability to recover the original biometric templates. The cancelability performance is evaluated and tested through extensive simulation results for all proposed methods on a different face and fingerprint datasets. Low Equal Error Rate (EER) values with high AROC values reflect the efficiency of the proposed methods, especially those dependent on DCT and DFrFT. Moreover, a comparative study is performed to evaluate the proposed method with all transformations to select the best one from the security perspective. Furthermore, a comparative analysis is carried out to test the performance of the proposed schemes with the existing schemes. The obtained outcomes reveal the efficiency of the proposed cancelable biometric schemes by introducing an average AROC of 0.998, EER of 0.0023, FAR of 0.008, and FRR of 0.003.

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Biometric Authentication Systems: Security Concerns and Solutions

Cited by 7 publications

References 15 publications

SSO Based Fingerprint Authentication of Cloud Services for Organizations

SSO Based Fingerprint Authentication of Cloud Services for Organizations

Efficient Generation of Cancelable Face Templates Based on Quantum Image Hilbert Permutation

Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

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