Biometric cryptosystems: a comprehensive survey

Kaur, Prabhjot; Kumar, Nitin; Singh, Maheep

doi:10.1007/s11042-022-13817-9

Cited by 16 publications

(5 citation statements)

References 208 publications

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“…In recent years, many pertinent studies have been published in the area of the use of biometrics in cryptosystems. These start from influential work published by Uludag et al (2002) [41] to recent and highly relevant studies in 2023 [42,43]. However, to the best of the authors' knowledge, there are no surveys seeking to understand the role of wearable biometric cryptosystems.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, there has been increasing research interest in the use of biometric characteristics to improve the security of cryptosystems [43,63]. These attributes consist of fingerprints, iris scans, and facial recognition.…”

Section: Reviewmentioning

confidence: 99%

“…Several strategies have been proposed to address key challenges in biometric systems, including increasing the randomness of iris codes, adding synthetic points to real biometric points, employing biometric images rather than direct features, and storing parameters representing wearable characteristics. However, each of these strategies has its advantages and disadvantages, which means that there is no clear approach that is most suitable for adoption [43]. To address this issue, researchers have proposed the use of multimodal biometrics to overcome challenges such as the resistance of cryptosystems to attacks.…”

Section: Reviewmentioning

confidence: 99%

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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: Methodsmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

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The Emerging Challenges of Wearable Biometric Cryptosystems

Ajlan,

Alsboui,

Alshaikh

et al. 2024

Cryptography

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“…P. Kaur et.al. 16 proposed an algorithm in the combination of the fields like biometric and cryptosystem, the biometric will authenticate the data and cryptosystem will provide security. The proposed algorithm is designed using the concept BCS (Biometric and Cryptosystem).…”

Section: Related Workmentioning

confidence: 99%

Fingerprint recognition based on biometric cryptosystem

Jalaja,

Anjaneyulu,

Mohan

2024

JIST

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In this article, we design a new Biometric Cryptosystem based on finger print recognition. In this Cryptosystem the algorithm is based on Eigen space approach. This approach has been compared with the conventional approaches which are based on exercise object geometry. The execution described uses the arrangement of Eigen space, and by calculating Eigen values and Eigen vectors of the image set. The image set is defined by taking different positions of images of finger prints. For an anonymous input image, the identification algorithm projects this image to the Eigen space and calculates Euclidean distance between the unknown image and the Eigen space. If this distance is minimum then the person is known. Otherwise it is unknown. Experimental results for different number of persons are shown to verify the viability of the designed method.

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“…These are severe vulnerabilities in which root or increased permissions can be passed to an unauthorized user, such as an attacker, despite a system equipped with robust security solutions. Fortunately, adding biometrics to an authentication system and biometrics-based keys to cryptographic algorithms have become good solutions for added security in any system [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Confidence Interval-Based Dual-Key Fuzzy Vault Scheme for Operator Authentication of Autonomous Unmanned Aerial Vehicles

Choi

Lee²,

Kim

2023

Applied Sciences

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The fuzzy vault is an innovative way to share secret keys, combining traditional cryptography with biometrics and biometric template protection. This method forms the basis for the reliable operation of unmanned aerial vehicles (UAVs) through anonymizing drone operators and safely using their data and onboard information. However, due to the inherent instability of biometrics, traditional fuzzy vault schemes face challenges, such as reduced recognition rates with increased chaff points, impractical runtimes due to high-order polynomial reconstruction, and susceptibility to correlation attacks. This paper proposes an efficient fuzzy vault scheme to address these challenges. We generate two secret keys based on biometrics: the first key is produced from the operator’s unique features like the face and iris, using a confidence interval; the second key, used to construct a polynomial, is based on what the operator remembers. These dual-key fuzzy vaults enable the stable generation of genuine points during encoding, easy extraction during decoding, and effective operator authentication while maintaining anonymity. Our experimental results demonstrate improved security and secret acquisition accuracy using the AR face database. These results are achieved regardless of increased false vaults, enabling real-time polynomial reconstruction and resilience against correlation attacks. Importantly, our enhanced fuzzy vault scheme allows the application of this secure, real-time authentication process, safeguarding the anonymity of drone operators.

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Biometric cryptosystems: a comprehensive survey

Cited by 16 publications

References 208 publications

The Emerging Challenges of Wearable Biometric Cryptosystems

The Emerging Challenges of Wearable Biometric Cryptosystems

Fingerprint recognition based on biometric cryptosystem

An Efficient Confidence Interval-Based Dual-Key Fuzzy Vault Scheme for Operator Authentication of Autonomous Unmanned Aerial Vehicles

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