Design Aspects of Secure Biometric Systems and Biometrics in the Encrypted Domain

Vielhauer, Claus; Dittmann, Jana; Katzenbeisser, Stefan

doi:10.1007/978-1-4471-5230-9_2

Cited by 2 publications

(2 citation statements)

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“…The applications, services, or uses of biometric systems with protection schemes must allow non-repudiation, i.e., these link the biometric information and the user's identity as proof of responsibility for the actions performed. Likewise, these applications must guarantee the authenticity of the biometric information through liveness detection [31]. Furthermore, biometric traits are considered personal data.…”

Section: Formalization Of Biometric Templates Protection (Btp) Techni...mentioning

confidence: 99%

“…However, if the key s d is disclosed or compromised, then the protected information or encrypted template is not secure. In other words, the problem of biometric template protection evolves into the problem of cryptographic key management and security; this last problem is also a great challenge [31], [44]. In the recognition phase, protected templates are decrypted, as shown in Fig.…”

Section: Modern Cryptography Schemesmentioning

confidence: 99%

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A Review on Protection and Cancelable Techniques in Biometric Systems

et al. 2023

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An essential part of cloud computing, IoT, and in general the broad field of digital systems, is constituted by the mechanisms which provide access to a number of services or applications. Biometric techniques aim to manage the access to such systems based on personal data; however, some biometric traits are openly exposed in the daily life, and in consequence, they are not secret, e.g., voice or face in social networks. In many cases, biometric data are non-cancelable and non-renewable when compromised. This document examines the vulnerabilities and proposes hardware and software countermeasures for the protection and confidentiality of biometric information using randomly created supplementary information. Consequently, a taxonomy is proposed according to the operating principle and the type of supplementary information supported by protection techniques, analyzing the security, privacy, revocability, renewability, computational complexity, and distribution of biometric information. The proposed taxonomy has five categories: 1) biometric cryptosystems; 2) cancelable biometrics; 3) protection schemes based on machine learning or deep learning; 4) hybrid protection schemes; and 5) multibiometric protection schemes. Furthermore, this document proposes quantitative evaluation measures to compare the performance of protection techniques. Likewise, this research highlights the advantages of injective and linear mapping for the protection of authentication and identification systems, allowing the non-retraining of these systems when the protected biometric information is canceled and renewed. Finally, this work mentions commercial products for cancelable biometric systems and proposes future directions for adaptive and cancelable biometric systems in low-cost IoT devices.

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Section: Formalization Of Biometric Templates Protection (Btp) Techni...mentioning

confidence: 99%

Section: Modern Cryptography Schemesmentioning

confidence: 99%