Cancelable biometric security system based on advanced chaotic maps

El-Hameed, Hayam A. Abd; Ramadan, Noha; El‐Shafai, Walid; Khalaf, Ashraf A. M.; Ahmed, Hossam Eldin H.; El‐Khamy, Said E.; El‐Samie, Fathi E. Abd

doi:10.1007/s00371-021-02276-2

Cited by 31 publications

(6 citation statements)

References 19 publications

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“…In particular, a palmprint authentication system was developed by [142], which performs convolution between the biometric information and a Gabor filter defined by random information. Likewise, [143] proposed a cancelable authentication system with protection based on the convolution operation between fingerprint information and a random kernel generated with chaotic maps.…”

Section: ) Correlation Filtersmentioning

confidence: 99%

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: ) Correlation Filtersmentioning

confidence: 99%

A Review on Protection and Cancelable Techniques in Biometric Systems

et al. 2023

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“…This key sensitivity 10-14 additional parameters p, q of the Arnold cat map, parameter a, denoting the angle of rotation of chaotic maps encryption are used as secret keys. In this situation, the computations will necessitate: 𝑇 = 10 14 × 10 14 × 10 14 × 10 14 × 255 1 × 10 9 × 60 × 60 × 24 × 365 = 3.25 * 10 39 𝑦𝑒𝑎𝑟𝑠 (11) This task is nearly impossible to accomplish. The keyspace is extensive enough to withstand any attempts at bruteforce attacks.…”

Section: Exhaustive Key Searchmentioning

confidence: 99%

“…However, cancelable biometric systems utilize encrypted biometric templates within a statistical framework to verify identity. Decrypting stored templates is unnecessary in a traditional biometric cryptosystem [11]. Cancelable biometrics refers to a deliberate alteration of the initial biometric templates, enabling enrollment and verification to be carried out in the transformed domain.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Cancelable Biometrical Recognition System (CBRS) Based on Developed Hénon Chaotic-Map

El-aziem,

Abdelhafeez,

soliman

2023

Preprint

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Currently, authentication systems rely heavily on human biometrics. Cancellable biometric patterns are generated from the original templates to enhance the security level of biometric features in response to violent attacks. In this paper, a proposed method for a cancelable biometrical recognition system (CBRS) is introduced, which is based on the developed Hénon chaotic-map concept. The proposed CBRS design guarantees that the original biometric features are modified and encrypted before being stored in the database, ensuring their protection against malicious cyber-attacks. The suggested technique was tested using different facial biometrics datasets The correlation scores and the Receiver Operating Characteristic curve were calculated to evaluate the system's performance. The analysis results show that the suggested technique is highly effective robust and reliable, as evidenced by its excellent performance across various face databases.

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“…An intentional and repeatable distortion of a biometric signal based on a selected transformation can be defined as cancelable biometric transformation [21]. This could allow the same biometric template to be used in different applications by applying different transformations.…”

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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Cancelable biometric security system based on advanced chaotic maps

Cited by 31 publications

References 19 publications

A Review on Protection and Cancelable Techniques in Biometric Systems

A Review on Protection and Cancelable Techniques in Biometric Systems

A Proposed Cancelable Biometrical Recognition System (CBRS) Based on Developed Hénon Chaotic-Map

Optical Ciphering Scheme for Cancellable Speaker Identification System

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