Cancelable Multimodal Biometrics Based on Chaotic Maps

Ghouzali, Sanaa; Nafea, Ohoud; Abdul, Wadood; Hussain, Muhammad

doi:10.3390/app11188573

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…The technique's efficiency, evidenced by metrics like Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and NC, indicates its effectiveness in producing high-quality images resistant to various attacks. Ghouzali et al (2021) introduced an approach in their study focusing on preserving the privacy of biometric templates within a multimodal biometric system. The authors aimed to address both the cancelability issue of biometric templates and the efficiency of the authentication process.…”

Section: Early Workmentioning

confidence: 99%

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Enhancing Medical Data Security in E-Health Systems Using Biometric-Based Watermarking

MAKHLOUF,

MERAOUMIA,

LAKHDAR

et al. 2024

Appl. Comput. Sci.

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In the field of Electronic Health (e-Health), Electronic Health Records (EHR) are transmitted between health professionals using e-Health systems for cooperative medical practice, medical monitoring, telemedical expertise, and telemedical imaging. Medical images are a crucial component of EHR and are used in various aspects of telemedicine systems such as expertise, consultation, teaching, and research. However, protecting the authenticity and copyrights of medical images is essential to prevent duplication, modification, or unauthorized distribution. This paper proposes a robust medical image copyright protection method that uses patient palm-print template as watermark and Lorenz chaotic map for template concealing and selecting the appropriate embedding positions in medical images. The novelty of the method lies in optimizing the expected number of modifications per pixel of the medical images after being watermarked. Experimental results indicate that this approach has a high performance with a genuine accept rate of 99.86% and can withstand various image processing attacks, including Gaussian noise, compression, and image rotations, while ensuring personal data security during telemedicine data exchange.

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Section: Early Workmentioning

confidence: 99%

“…This section compares the performance of the proposed scheme with similar approaches presented in (Ghouzali et al, 2021;Wadood et al, 2020;Aparna & Kishore 2019;Murillo-Escobar et al, 2016). Table 4 summarises the biometric modalities used in these approaches.…”

Section: Comparison Studymentioning

confidence: 99%

Enhancing Medical Data Security in E-Health Systems Using Biometric-Based Watermarking

MAKHLOUF,

MERAOUMIA,

LAKHDAR

et al. 2024

Appl. Comput. Sci.

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“…To create cancelable templates, they used a modified discrete Fourier transform and wavelet transformation. Ghouzali et al 14 presented a cancelable multimodal system using face and fingerprint. To create a cancelable template, chaotic maps are used for the face, and the torus automorphism technique is used for the fingerprint.…”

Section: Cancelable Biometricsmentioning

confidence: 99%

“…To create cancelable templates, they used a modified discrete Fourier transform and wavelet transformation. Ghouzali et al 14 . presented a cancelable multimodal system using face and fingerprint.…”

Section: Related Workmentioning

confidence: 99%

Cancelable bimodal shell using fingerprint and iris

Vallabhadas,

Sandhya

2023

J. Electron. Imag.

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Authentication systems are now an important part of our daily life. Human biological, behavioral, and physical characteristics are usually applied in authenticating a person in various applications. Unimodal biometric systems have a number of limitations, such as noise sensitivity, population coverage, intra-class variations, nonuniversality, and vulnerability to spoofing. Multimodal biometric systems overcome these limitations and are being widely used in many real-world applications. In this work, to construct a three-dimensional (3-D) shell, we use fingerprint and iris. First, features are extracted from the fingerprint. Then, using a user key set, a two-dimensional spiral curve is generated from fingerprint features. Next, iris features are extracted using a pre-trained VGG-16 model, then feature vector-based random projection is applied to generate an iris feature vector. This generated feature vector is combined with the fingerprint shell to construct a secured 3-D shell. Finally, these fused 3-D templates are saved in the database and are used for matching. Our proposed technique has been evaluated on the three publicly available datasets, showing that it can preserve user privacy while maintaining the accuracy of the system with an equal error rate of 0.09%, 0.032%, and 0.015%.

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“…Ghouzali et al [27] proposed using a logistic map and torus automorphism to protect face and fingerprint templates. The face and fingerprint are processed independently before being fused using score fusion.…”

Section: Related Workmentioning

confidence: 99%

Finger Vein Template Protection with Directional Bloom Filter

Teng,

Ong,

S. M. A.

et al. 2023

HighTech. Innov. J.

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Biometrics has become a widely accepted solution for secure user authentication. However, the use of biometric traits raises serious concerns about the protection of personal data and privacy. Traditional biometric systems are vulnerable to attacks due to the storage of original biometric data in the system. Because biometric data cannot be changed once it has been compromised, the use of a biometric system is limited by the security of its template. To protect biometric templates, this paper proposes the use of directional bloom filters as a cancellable biometric approach to transform the biometric data into a non-invertible template for user authentication purposes. Recently, Bloom filter has been used for template protection due to its efficiency with small template size, alignment invariance, and irreversibility. Directional Bloom Filter improves on the original bloom filter. It generates hash vectors with directional subblocks rather than only a single-column subblock in the original bloom filter. Besides, we make use of multiple fingers to generate a biometric template, which is termed multi-instance biometrics. It helps to improve the performance of the method by providing more information through the use of multiple fingers. The proposed method is tested on three public datasets and achieves an equal error rate (EER) as low as 5.28% in the stolen or constant key scenario. Analysis shows that the proposed method meets the four properties of biometric template protection. Doi: 10.28991/HIJ-2023-04-02-013 Full Text: PDF

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Cancelable Multimodal Biometrics Based on Chaotic Maps

Cited by 10 publications

References 27 publications

Enhancing Medical Data Security in E-Health Systems Using Biometric-Based Watermarking

Enhancing Medical Data Security in E-Health Systems Using Biometric-Based Watermarking

Cancelable bimodal shell using fingerprint and iris

Finger Vein Template Protection with Directional Bloom Filter

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