Security and Cryptographic Challenges for Authentication Based on Biometrics Data

Nita, Stefania Loredana; Mihăilescu, Marius Iulian; Pau, Valentin

doi:10.3390/cryptography2040039

Cited by 15 publications

(12 citation statements)

References 27 publications

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“…In this phase the CSK modulation idea is employed to encode generated shares S A and S B which are treated as signals to generate two noise signals = Share1 and Share2 based on CSK modulation as presented, in algorithm (2). The sent signal can be expressed as follows ( ), 1 () ( ), 0…”

Section: B Coding Phasementioning

confidence: 99%

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Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Hashim¹

2021

IJC

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Biometric templates stored in a database introduce a number of security and privacy risks. The requirements for an architecture that does not suffer from these risks are needed. Therefore, the reference information that is stored in the database must not give sufficient information to make successful impersonation possible. Also, the reference information must be retrieved as little as possible about the original biometrics; in particular it reveals no sensitive information. The proposed system introduces a novel method for template protection and a verification using the merging techniques of chaotic shift keying (CSK) and secret image sharing (SIS). The proposed architecture assures a complete protection framework for the biometric templates, which involves two phases: the first phase is to protect the ID image; a watermark ID image that includes the personal information embedded in the template using a novel watermarking algorithm to generate two shares, and then it is utilized to verify the accuracy of the revealed template. The second phase is for template protection, where the generated shares are encoded separately using CSK and then one share is stored in the database and the other kept with the user. The experimental and comparative results demonstrate that the proposed framework retains the protection of the template and preserves robustness to malicious attacks, while it does not have a discernible effect on the quality of the template.

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Section: B Coding Phasementioning

confidence: 99%

“…Because of their uniqueness, characteristic biometrics systems will become more vulnerable, and privacy will be one of the most important challenges. Classic cryptographic primitives are not appropriate to ensure a strong level of privacy security [2].…”

Section: Introductionmentioning

confidence: 99%

Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Hashim¹

2021

IJC

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“…For analysis, the sample areas of 400 × 400 mm 2 with a distance of 10 µm between adjacent profiles, at a scanning rate of 100 µm/s, and an applied mass of 0.5 mg, were used. The results were analyzed via APEX 3D BASIC V7USA, (Milpitas, CA, USA) dedicated software and the density of square unit per surface area was calculated using the Abbott-Firestone algorithm, a cumulative probability density function of the total measured heights [32][33][34].…”

Section: Substrates Topography Characterizationmentioning

confidence: 99%

Influence of Laser-Designed Microstructure Density on Interface Characteristics and on Preliminary Responses of Epithelial Cells

et al. 2020

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Current trends in designing medical and tissue engineering systems rely on the incorporation of micro- and nano-topographies for inducing a specific cellular response within the context of an aimed application. As such, dedicated studies have recently focused on understanding the possible effects of high and low density packed topographies on the behavior of epithelial cells, especially when considering their long-term viability and functionality. We proposed to use stair-like designed topographies with three different degrees of distribution, all created in polydimethylsiloxane (PDMS) as active means to monitor cell behavior. Our model cellular system was human bronchial epithelial cells (BEAS-2B), a reference line in the quality control of mesenchymal stem cells (MSCs). PDMS microtextured substrates of 4 µm square unit topographies were created using a mold design implemented by a KrF Excimer laser. Varying the spacing between surface features and their multiscale level distribution led to irregular stairs/lines in low, medium and high densities, respectively. Profilometry, scanning electron and atomic force microscopy, contact angle and surface energy measurements were performed to evaluate the topographical and interface characteristics of the designed surfaces, while density-induced cellular effects were investigated using traditional cell-based assays. Our analysis showed that microstructure topographical distribution influences the adhesion profiles of epithelial cells. Our analysis hint that epithelial organoid formation might be initiated by the restriction of cell spreading and migration when using user-designed, controlled micro-topographies on engineered surfaces.

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“…Elkamchouchi et al [23] suggested method of cryptography which uses the image as an open key and arbitrary integers as a private key to compute the image [24]. Jain et al [25], suggested a steganography to hide biometric data (fingerprint minutiae) in multitude images (face), whose function is to transmit the data.…”

Section: A Vulnerabilities Attacks Of Biometric Template In the Datamentioning

confidence: 99%

Developing an Algorithm for Securing the Biometric Data Template in the Database

Habibu¹,

Luhanga²,

Sam³

2019

IJACSA

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In the current technology advancement, biometric template provides a dependable solution to the problem of user verification in an identity control system. The template is saved in the database during the enrollment and compared with query information in the verification stage. Serious security and privacy concerns can arise, if raw, unprotected data template is saved in the database. An attacker can hack the template information in the database to gain illicit access. A novel approach of encryption-decryption algorithm utilizing a design pattern of Model View Template (MVT) is developed to secure the biometric data template. The model manages information logically, the view shows the visualization of the data, and the template addresses the data migration into pattern object. The established algorithm is based on the cryptographic module of the Fernet key instance. The Fernet keys are combined to generate a multiFernet key to produce two encrypted files (byte and text file). These files are incorporated with Twilio message and securely preserved in the database. In the event where an attacker tries to access the biometric data template in the database, the system alerts the user and stops the attacker from unauthorized access, and cross-verify the impersonator based on the validation of the ownership. Thus, helps inform the users and the authority of, how secure the individual biometric data template is, and provided a high level of the security pertaining the individual data privacy.

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Security and Cryptographic Challenges for Authentication Based on Biometrics Data

Cited by 15 publications

References 27 publications

Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Influence of Laser-Designed Microstructure Density on Interface Characteristics and on Preliminary Responses of Epithelial Cells

Developing an Algorithm for Securing the Biometric Data Template in the Database

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