A survey on biometrie template protection using cancelable biometric scheme

Rachapalli, Devendra Reddy; Kalluri, Hemantha Kumar

doi:10.1109/icecct.2017.8117828

Cited by 10 publications

(4 citation statements)

References 30 publications

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“…Cancellable biometric approaches enhance problems of unlinkability and diversity. In addition, cancelable biometric approaches are revokable if the kept template can be replaced with identical biometric data by a new template [31]. The discrete Fourier transform and a random projection on the original template can also achieve cancellability [32].…”

Section: Introductionmentioning

confidence: 99%

Optical Ciphering Scheme for Cancellable Speaker Identification System

El‐Shafai¹,

El-Sayed²,

Rashwan³

et al. 2023

Computer Systems Science and Engineering

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Most current security and authentication systems are based on personal biometrics. The security problem is a major issue in the field of biometric systems. This is due to the use in databases of the original biometrics. Then biometrics will forever be lost if these databases are attacked. Protecting privacy is the most important goal of cancelable biometrics. In order to protect privacy, therefore, cancelable biometrics should be non-invertible in such a way that no information can be inverted from the cancelable biometric templates stored in personal identification/verification databases. One methodology to achieve non-invertibility is the employment of non-invertible transforms. This work suggests an encryption process for cancellable speaker identification using a hybrid encryption system. This system includes the 3D Jigsaw transforms and Fractional Fourier Transform (FrFT). The proposed scheme is compared with the optical Double Random Phase Encoding (DRPE) encryption process. The evaluation of simulation results of cancellable biometrics shows that the algorithm proposed is secure, authoritative, and feasible. The encryption and cancelability effects are good and reveal good performance. Also, it introduces recommended security and robustness levels for its utilization for achieving efficient cancellable biometrics systems.

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Section: Introductionmentioning

confidence: 99%

Optical Ciphering Scheme for Cancellable Speaker Identification System

El‐Shafai¹,

El-Sayed²,

Rashwan³

et al. 2023

Computer Systems Science and Engineering

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show abstract

“…21 Biometric cryptosystems provide high privacy and security because of the encryption of ECG biometric data using a cryptographic key to convert it to different versions of protected templates and then store it. 22,23 Hybrid biometric cryptosystems can merge more modules to create a single biometric cryptosystem. [24][25][26][27] The stored template is then decrypted to allow the comparison during authentication.…”

Section: Introductionmentioning

confidence: 99%

Cancelable electrocardiogram biometric system based on chaotic encryption using three‐dimensional logistic map for biometric‐based cloud services

Eldesouky

El‐Shafai

Ahmed

et al. 2022

Security and Privacy

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Biometric features are extensively employed for security purposes, but they are vulnerable to threats and can be lost or compromised. Electrocardiogram (ECG) has been utilized as one of the most favorable biometrics. However, it contains confidential patient health information and personal identification details. Moreover, security flaws take place in hacking scenarios. Therefore, original biometrics must be secured by preventing them from being used in biometric databases. The enhanced security trend in biometric authentication is cancelable biometrics. Cancelable biometric systems can be built by generating regularly repeated distortions of biometric features to secure the sensitive data of the users. When cancelable features are disclosed, distortion parameters are modified, and new cancelable templates are generated. This paper presents a proposed cancelable ECG recognition system based on the 3D chaotic logistic map encryption, which has highly efficient random characteristics with confusion and diffusion properties. Normal and abnormal ECG signals have been used to test the proposed cancelable biometric recognition system, and good access results have been obtained. The results of the simulation indicate that the proposed system is secure, reliable, and practicable even with ECG signals for patients.

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“…The conventional biometric identi cation and veri cation process includes several security and privacy issues [11]. Original biometric templates, unlike passwords or encryption keys, are easily stolen; as a result, these templates cannot be canceled or amended, rendering biometrics unsafe.…”

Section: Introductionmentioning

confidence: 99%

Compression-Based Cancelable Multi-Biometric System

Elshazly

Hashad

Sedik

et al. 2022

Preprint

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The issue of cybersecurity is one of the important fields which is involved in different research trends. Biometric security is one of these trends which is involved in several applications such as access control systems and online identity verification. The protection of human biometrics can be performed using both bi-directional and unidirectional encryption. The unidirectional encryption is carried out based on cancelable biometric techniques. This paper proposes a cancelable biometric system based on image composition, deep dream, and hashing techniques. The objective of the proposed system is to generate visual and text cancelable biometrics. The visual cancelable templates are generated using image composition and deep dream, while the text templates are generated using SHA hashing techniques. The proposed system is validated by multi-biometric inputs including iris, palm, face, and fingerprint biometrics. In addition, it is evaluated in both visual and text forms. The simulation results reveal that the proposed system appears a superior performance among the works which handle this problem.

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A survey on biometrie template protection using cancelable biometric scheme

Cited by 10 publications

References 30 publications

Optical Ciphering Scheme for Cancellable Speaker Identification System

Optical Ciphering Scheme for Cancellable Speaker Identification System

Cancelable electrocardiogram biometric system based on chaotic encryption using three‐dimensional logistic map for biometric‐based cloud services

Compression-Based Cancelable Multi-Biometric System

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