Biometric template security: an overview

Riaz, Naveed; Riaz, Ayesha; Khan, Sajid Ali

doi:10.1108/sr-07-2017-0131

Cited by 22 publications

(12 citation statements)

References 69 publications

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“…To be forgotten or lost is impossible, and unlike passwords, they are hard to forge. There are some biometric traits that can be defined for an individual; for example, fingerprint, finger-vein, iris, voice, face, and so on [2].…”

Section: Introductionmentioning

confidence: 99%

Security and Accuracy of Fingerprint-Based Biometrics: A Review

et al. 2019

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Biometric systems are increasingly replacing traditional password-and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two most critical attacks to biometric systems, namely, attacks to the user interface and template databases. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is a hot research topic currently, as well as in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design. Related challenges and current research trends are also outlined in this paper. recognition as an example. In the stage of enrollment, a user presents their finger to the fingerprint sensor and a fingerprint image is acquired by the sensor module. Certain features of the acquired fingerprint image are extracted, and further adapted or transformed to generate template data for the purpose of comparison in the verification stage. In the verification stage, the fingerprint image of a query is collected by the sensor module. The feature representations of the query fingerprint image go through the same process as in the enrollment stage, so as to obtain query data. The query data are then compared with the template data so that a matching outcome is attained.

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Section: Introductionmentioning

confidence: 99%

Security and Accuracy of Fingerprint-Based Biometrics: A Review

et al. 2019

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“…The false acceptance rate (FAR) is defined as "the percentage of invalid inputs which are incorrectly accepted," while false rejection rate (FAR) is defined "as a percentage of valid inputs which are incorrectly rejected." [15]. The above algorithms generate different FAR and FRR, which determine the accuracy and performance of the proposed model.…”

Section: Performance Parametermentioning

confidence: 99%

Keystroke dynamics Based Technique to Enhance the Security in Smart Devices

Pirzado

Memon

Dhomeja

et al. 2021

KJCIS

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Nowadays, smart devices have become a part of ourlives, hold our data, and are used for sensitive transactions likeinternet banking, mobile banking, etc. Therefore, it is crucial tosecure the data in these smart devices from theft or misplacement.The majority of the devices are secured with password/PINbaseduser authentication methods, which are already proveda less secure or easily guessable user authentication method.An alternative technique for securing smart devices is keystrokedynamics. Keystroke dynamics (KSD) is behavioral biometrics,which uses a natural typing pattern unique in every individualand difficult to fake or replicates that pattern. This paperproposes a user authentication model based on KSD as an additionalsecurity method for increasing the smart devices’ securitylevel. In order to analyze the proposed model, an android-basedapplication has been implemented for collecting data from fakeand genuine users. Six machine learning algorithms have beentested on the collected data set to study their suitability for usein the keystroke dynamics-based authentication model.

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“…Despite its advantages, the adoption of biometrics in an unprotected manner for authentication has raised several significant security and privacy concerns [1,2]. Firstly, the biometric reference template can be replaced by an attacker template.…”

Section: Introductionmentioning

confidence: 99%

A Post-Quantum Fuzzy Commitment Scheme for Biometric Template Protection: An Experimental Study

Al-Saggaf

2021

IEEE Access

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The proliferation and extensive acceptance of biometrics in many sectors is due to its merits over traditional password-based authentication. Several biometric template protection schemes have been proposed during the last decade to address the security and privacy issues related to biometrics. While errorcorrecting coding is required in the design of these schemes, it has been shown to degrade security and accuracy performance. In this study, a new post-quantum fuzzy commitment scheme (PQFC) for biometric template protection is designed, which is proved to be secure based on the Short Vector Problem (SVP) of the lattice. The present work provides the first systematic construction of biometric template protection that does not rely on error-correcting codes. To that purpose, a novel biometric-based PQFC authentication system based on a smartcard is created, with the biometric template protected by PQFC. Furthermore, biometric matching is done indirectly. The biometric-based PQFC authentication system is examined using an iris database of 108 individuals. According to the experimental data, the accuracy of iris recognition with PQFC is 99.1 percent, which is higher than the accuracy without PQFC, which is 97.4 percent. A False Accepting Rate (FAR) of 0% is achieved, while the False Rejection Rate (FRR) is 2.9%. The FRR can be adjusted by employing the best standard iris recognition algorithm. The execution time for the essential operations of PQFC and the storage requirements are estimated. Furthermore, the security of the proposed authentication system is analyzed, showing that the renewability, unlinkability, and irreversibility of the ISO/IEC 24745 standard are fulfilled without downgrading the accuracy. The overall performance of this work demonstrated that the PQFC is a promising technique for biometric template protection that is also suitable for the Internet of Things and cloud computing applications.

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Biometric template security: an overview

Cited by 22 publications

References 69 publications

Security and Accuracy of Fingerprint-Based Biometrics: A Review

Security and Accuracy of Fingerprint-Based Biometrics: A Review

Keystroke dynamics Based Technique to Enhance the Security in Smart Devices

A Post-Quantum Fuzzy Commitment Scheme for Biometric Template Protection: An Experimental Study

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