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相关论文: Cryptanalysis of Cancelable Biometrics Vault

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Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage. This transformation is repeatable enabling subsequent biometric comparisons. This…

计算机视觉与模式识别 · 计算机科学 2021-11-29 Mahdi Ghafourian , Julian Fierrez , Ruben Vera-Rodriguez , Ignacio Serna , Aythami Morales

Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition…

机器学习 · 计算机科学 2023-02-20 Mahdi Ghafourian , Julian Fierrez , Ruben Vera-Rodriguez , Aythami Morales , Ignacio Serna

Cancelable biometric schemes are designed to extract an identity-preserving, non-invertible as well as revocable pseudo-identifier from biometric data. Recognition systems need to store only this pseudo-identifier, to avoid tampering and/or…

密码学与安全 · 计算机科学 2025-03-21 Ragendhu Sp , Tony Thomas , Sabu Emmanuel

Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two templates for security and privacy protection. However,…

计算机视觉与模式识别 · 计算机科学 2022-10-04 Xingbo Dong , Jaewoo Park , Zhe Jin , Andrew Beng Jin Teoh , Massimo Tistarelli , KokSheik Wong

Cancelable biometric schemes aim at generating secure biometric templates by combining user specific tokens, such as password, stored secret or salt, along with biometric data. This type of transformation is constructed as a composition of…

密码学与安全 · 计算机科学 2022-07-19 Axel Durbet , Pascal Lafourcade , Denis Migdal , Kevin Thiry-Atighehchi , Paul-Marie Grollemund

In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics. We consider BioHashing, Multi-Layer Perceptron (MLP) Hashing, Bloom Filters, and two schemes based on Index-of-Maximum (IoM)…

Biometric authentication is used to secure digital or physical access. Such an authentication system uses a biometric database, where data are sometimes protected by cancelable transformations. This paper introduces the notion of biometric…

密码学与安全 · 计算机科学 2022-02-08 Tanguy Gernot , Patrick Lacharme

In cancellable biometrics (CB) schemes, template security is achieved by applying, mainly non-linear, transformations to the biometric template. The transformation is designed to preserve the template distance/similarity in the transformed…

密码学与安全 · 计算机科学 2021-06-18 Hanrui Wang , Xingbo Dong , Zhe Jin , Andrew Beng Jin Teoh , Massimo Tistarelli

One common critique of biometric authentication is that if an individual's biometric is compromised, then the individual has no recourse. The concept of revocable biometrics was developed to address this concern. A biometric scheme is…

计算机视觉与模式识别 · 计算机科学 2025-06-24 Aman Bhatta , Michael C. King , Kevin W. Bowyer

Cancelable biometric schemes generate secure biometric templates by combining user specific tokens and biometric data. The main objective is to create irreversible, unlinkable, and revocable templates, with high accuracy in matching. In…

密码学与安全 · 计算机科学 2020-01-22 Kevin Atighehchi , Loubna Ghammam , Koray Karabina , Patrick Lacharme

The identity of a user is permanently lost if biometric data gets compromised since the biometric information is irreplaceable and irrevocable. To revoke and reissue a new template in place of the compromised biometric template, the idea of…

计算机视觉与模式识别 · 计算机科学 2018-05-28 Rudresh Dwivedi , Somnath Dey

With the widespread use of biometric recognition, several issues related to the privacy and security provided by this technology have been recently raised and analysed. As a result, the early common belief among the biometrics community of…

计算机视觉与模式识别 · 计算机科学 2024-01-08 Marta Gomez-Barrero , Javier Galbally

Vein recognition technologies have become one of the primary solutions for high-security identification systems. However, the issue of biometric information leakage can still pose a serious threat to user privacy and anonymity. Currently,…

计算机视觉与模式识别 · 计算机科学 2025-04-22 Yifan Wang , Jie Gui , Xinli Shi , Linqing Gui , Yuan Yan Tang , James Tin-Yau Kwok

Cancelable biometric techniques have been used to prevent the compromise of biometric data by generating and using their corresponding cancelable templates for user authentication. However, the non-invertible distance preserving…

密码学与安全 · 计算机科学 2021-05-25 Sani M. Abdullahi , Sun Shuifa

Cancelable Biometric is a challenging research field in which security of an original biometric image is ensured by transforming the original biometric into another irreversible domain. Several approaches have been suggested in literature…

计算机视觉与模式识别 · 计算机科学 2024-04-26 Nitin Kumar , Manisha

The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/IEC 24745 international standard on biometric information…

计算机视觉与模式识别 · 计算机科学 2023-11-09 Marta Gomez-Barrero , Javier Galbally , Christian Rathgeb , Christoph Busch

Cancelable Biometric is repetitive distortion embedded in original Biometric image for keeping it secure from unauthorized access. In this paper, we have generated Cancelable Biometric templates with Reverse Boolean XOR technique. Three…

图像与视频处理 · 电气工程与系统科学 2024-04-25 Manisha , Nitin Kumar

As a promising candidate to complement traditional biometric modalities, brain biometrics using electroencephalography (EEG) data has received a widespread attention in recent years. However, compared with existing biometrics such as…

密码学与安全 · 计算机科学 2022-04-01 Min Wang , Song Wang , Jiankun Hu

With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the rise. Because the problem of cancelable template generation…

计算机视觉与模式识别 · 计算机科学 2015-05-22 Devansh Arpit , Ifeoma Nwogu , Gaurav Srivastava , Venu Govindaraju

In this paper, we propose a secure multibiometric system that uses deep neural networks and error-correction coding. We present a feature-level fusion framework to generate a secure multibiometric template from each user's multiple…

人工智能 · 计算机科学 2017-08-09 Veeru Talreja , Matthew C. Valenti , Nasser M. Nasrabadi
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