Survey on Biometric Data Security and Chaotic Encryption Strategy with Bernoulli Mapping

Liew, Chalres Z.; Shaw, Raymond; Li, Lanlan; Yang, Yongqiang

doi:10.1109/icmb.2014.37

Cited by 9 publications

(6 citation statements)

References 37 publications

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“…Results of security and performance analysis show that the proposed scheme provides secure, reliable and efficient WSNs. A recent proposal combined Bernoulli-logistic mapping and chaotic encryption techniques to create a secure bio-cryptographic scheme [9]. This approach is suitable for online based biometric data network encryption and information transmission.…”

Section: Biometric Encryptionmentioning

confidence: 99%

State of the Art in Biometric Key Binding and Key Generation Schemes

Jegede

Udzir

Abdullah

et al. 2022

Int. j. commun. netw. inf. secur.

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Direct storage of biometric templates in databases exposes the authentication system and legitimate users to numerous security and privacy challenges. Biometric cryptosystems or template protection schemes are used to overcome the security and privacy challenges associated with the use of biometrics as a means of authentication. This paper presents a review of previous works in biometric key binding and key generation schemes. The review focuses on key binding techniques such as biometric encryption, fuzzy commitment scheme, fuzzy vault and shielding function. Two categories of key generation schemes considered are private template and quantization schemes. The paper also discusses the modes of operations, strengths and weaknesses of various kinds of key-based template protection schemes. The goal is to provide the reader with a clear understanding of the current and emerging trends in key-based biometric cryptosystems.

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Section: Biometric Encryptionmentioning

confidence: 99%

State of the Art in Biometric Key Binding and Key Generation Schemes

Jegede

Udzir

Abdullah

et al. 2022

Int. j. commun. netw. inf. secur.

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“…However, he did not use encrypted finger vein features for recognition experiments. Liew et al [32] proposed an encryption method using a 2D Bernoulli-Logistic map for retinas, irises, and fingerprints. Similarly, their encrypted images have better volatility and correlation performance, but no analysis or comparison of the recognition performance was conducted.…”

Section: Chaotic Encryption Technologymentioning

confidence: 99%

Template Protection Based on Chaotic Map for Finger Vein Recognition

Shao

Ren

Sun

et al. 2021

IEEJ Transactions Elec Engng

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While the widespread application of biometric identification technology has provided convenient services, the security, and privacy of personal data have also attracted increasing attention. Because biometric traits are unique, once an attack occurs, the information stored in the system will be permanently leaked. Thus, ensuring the security of biometric templates is a major challenge. In order to solve this problem, we propose a finger vein template protection method based on chaotic map. First, we randomize and scramble the finger vein features after feature extraction, disturbing the location distribution of the pixels. Second, on the basis of the chaotic features of the finger veins, binary quantization is applied to further ensure the safety of the template. Finally, the compact and safe finger vein template is directly stored in the database. Finger vein matching is realized in the encryption domain, which changes the way that the traditional finger vein recognition system directly stores biometric templates. We conducted a series of detailed experiments on the public dataset. The experimental results show that our method can ensure the safety of finger vein templates while maintaining stable recognition performance. Moreover, the method has universality for different feature-extraction methods and meets the requirements of good biometric template protection.

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“…Te advancements in information and communication technology have not only transformed various aspects of our daily lives but have also signifcantly broadened the scope of telemedicine. Tis evolution encompasses the delivery of health services, including remote diagnosis, treatment, and even surgical operations conducted from a distance [13]. In addition, physiological data such as fngerprint image, palm, eye iris and retina, face, hand geometry, fnger geometry, vein image, and behavioral biometric data such as voice, handwriting, and walking are widely used today to safely recognize user identity [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Tis evolution encompasses the delivery of health services, including remote diagnosis, treatment, and even surgical operations conducted from a distance [13]. In addition, physiological data such as fngerprint image, palm, eye iris and retina, face, hand geometry, fnger geometry, vein image, and behavioral biometric data such as voice, handwriting, and walking are widely used today to safely recognize user identity [13][14][15]. Also, biometric identifcation has become more popular than traditional identifcation techniques, especially in identity cards, passwords, and personal identifcation numbers (PIN) applications.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Analysis of a Quadratic Megastable Chaotic Oscillator and Its Application in Biometric Fingerprint Image Encryption

Subramanian,

Çiçek,

Akgul

et al. 2024

Complexity

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This investigation centers on megastable systems, distinguished by their countable infinite attractors, with a particular emphasis on the Quadratic Megastable Oscillator (QMO). Unlike traditional megastable oscillators reliant on external excitation, our proposed QMO operates autonomously, contributing to its distinctiveness. Through a comprehensive exploration of the QMO, we elucidate various dynamical behaviors, enriching the understanding of its complex system dynamics. In contrast to conventional megastable oscillators, the QMO yields nested types of multiple attractors for diverse initial conditions, elegantly depicted in phase portraits. To gauge the sustainability of chaotic oscillation, we employ influential parameter bifurcation plots, providing a nuanced insight into the system’s dynamical evolution. The complexity of the proposed system is further underscored by its intricate basins of attraction, accommodating an infinite number of coexisting attractors. Exploring trajectory dynamics, we observe that certain initial conditions lead trajectories to distant destinations, evading the influence of local attractors. This behavior underscores the uniqueness of the QMO and highlights its potential applications in scenarios requiring nonlocalized attractor behaviors. Taking a practical turn, the QMO is applied to biometric fingerprint image encryption, demonstrating its efficacy in real-world applications. Rigorous statistical analyses and vulnerability assessments confirm the success of the QMO in providing secure encryption within chaotic system-based frameworks. This research contributes not only to the theoretical understanding of megastable systems but also establishes the QMO as a valuable tool in encryption applications, emphasizing its robustness and versatility in complex dynamical scenarios.

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Survey on Biometric Data Security and Chaotic Encryption Strategy with Bernoulli Mapping

Cited by 9 publications

References 37 publications

State of the Art in Biometric Key Binding and Key Generation Schemes

State of the Art in Biometric Key Binding and Key Generation Schemes

Template Protection Based on Chaotic Map for Finger Vein Recognition

Dynamical Analysis of a Quadratic Megastable Chaotic Oscillator and Its Application in Biometric Fingerprint Image Encryption

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