Cancelable biometric based key generation for symmetric cryptography

Sarkar, Arpita; Singh, Binod Kr

doi:10.1109/icicct.2017.7975229

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…The keys are not directly associated with the user, so it can be challenging to memorize them. To solve this problem, a study [28] proposed a method to generate symmetric cryptographic keys that make use of cancelable biometric templates of the individual. This method binds the cryptographic key to the user's unique biometric characteristics.…”

Section: Cancelable Templates In Biometricsmentioning

confidence: 99%

“…Cancelable templates in biometrics offer enhanced privacy through one-way transformations [28], provide the valuable features of renewability and revocability in the event of compromise, while avoiding the need to store raw templates by binding [85]. However, these benefits are often limited to specific modalities such as fingerprints, and there is a scarcity of extensive large-scale tests, highlighting the necessity of security evaluations against advanced attacks [90].…”

Section: Cancelable Templates In Biometricsmentioning

confidence: 99%

“…Techniques such as cancelable biometrics and cryptographic key binding are proposed to intrinsically link cryptographic keys to biometrics and handle issues such as biometric variance. Cancelable biometrics refers to the transformation of the original biometric template using one-way functions to create a distorted version [28,29]. This preserves user privacy, as the original template cannot be reconstructed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Emerging Challenges of Wearable Biometric Cryptosystems

Ajlan,

Alsboui,

Alshaikh

et al. 2024

Cryptography

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Cryptographic key generation and data encryption and decryption using wearable biometric technologies is an emerging research area with significant potential for authentication and communication security. The research area is rapidly developing, and a comprehensive review of recently published literature is necessary to establish emerging challenges. This research article aims to critically investigate and synthesize current research using biometric cryptosystems that use behavior or medico-chemical characteristics, ranging from gate analysis to gaze tracking. The study will summarize the state of knowledge, identify critical research gaps, and provide insight into promising future implications and applications that can enable the realization of user-specific and resilient solutions for authentication and secure communication demands.

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Section: Cancelable Templates In Biometricsmentioning

confidence: 99%

Section: Cancelable Templates In Biometricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Emerging Challenges of Wearable Biometric Cryptosystems

Ajlan,

Alsboui,

Alshaikh

et al. 2024

Cryptography

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“…This cancelable biometrics can be easily replaced without the need to modification of the system at all. The trend of cancelable biometrics is a promising trend towards more protected biometric systems [6][7]. So, in this paper we offered the cancelable approach to generate a fingerprint based non-invertible system for secure recognition.…”

Section: I In Nt Tr Ro Od Du Uc Ct Ti Io On Nmentioning

confidence: 99%

Cancelable Fingerprint Recognition based on Encrypted Convolution Kernel in Different Domains

Hashad

Zahran

El-Rabaie

et al. 2020

Menoufia Journal of Electronic Engineering Research

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Peoples' biometrics, such as fingerprints, are unique , as a result it can be used in many evidence security requests, such as employees' registration gate, crime investigation, and revealing smart phones. The security of fingerprints is very critical in protecting the peoples' identity. In this research, a cancelable fingerprint recognition system is proposed. The proposed system is based on comprising four biometrics in a unified biometric template for each person using Discrete Cosine Transform (DCT) compression. This unified biometric template is encrypted with different convolution kernels produced by chaotic Baker map in different domains. The Integer Wavelet Transform (IWT) and the Discrete Wavelet Transform (DWT) are used to create different transformations of the fingerprint. In case a transformed fingerprint is compromised, the biometric fingerprint transformation is reorganized with another transformation. A comparative study between different transform-domains in the occurrence of attacks shows the authority of encryption in the DWT domain with different keys. Both Equal Error Rate (EER) and Area under Receiver Operating Characteristic (AROC) curve are used for performance evaluation revealing high performance of the proposed system.

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“…This enables data owner to possess complete management over one's personal information while not hoping on, or relinquishing management to a third party authority [2].The key generation of biometric cryptosystem combines a high level security that's provided by cryptography and non-repudiation provided by bioscience [3][4]. It produces a stable crypto graphical key that's extracted from biometric knowledge although, a number of the intruders may try and hack the bio-key throughout identification and verification method [5][6][7][8]. Thus, it's not a pure authentic system.…”

Section: A Backgroundmentioning

confidence: 99%

Bio Key Generation for Integrity Checking Using Elliptic Curves in Fingerprint Verification System

Rekha*,

Kavitha

2019

IJEAT

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This paper proposes a Bio-key generation method for integrity checking in fingerprint verification system. A major drawback in traditional cryptography is random key generation and those keys need to be remembered by the user. To overcome such drawback the crypto-Bio-key generation system is introduced. In this system, there are three process to follow. Initially, a revocable transformation of the compressed fingerprint feature data using transformation key for security enhancement. Secondly, the key exchange technique using Elliptic curve cryptography (ECC) to generate secret key. Finally SHA256 hash function generates the Bio-key for high level integrity checking.

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Cancelable biometric based key generation for symmetric cryptography

Cited by 5 publications

References 15 publications

The Emerging Challenges of Wearable Biometric Cryptosystems

The Emerging Challenges of Wearable Biometric Cryptosystems

Cancelable Fingerprint Recognition based on Encrypted Convolution Kernel in Different Domains

Bio Key Generation for Integrity Checking Using Elliptic Curves in Fingerprint Verification System

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