Using Honey Templates to Augment Hash Based Biometric Template Protection

Yang, Bian; Martiri, Edlira

doi:10.1109/compsac.2015.247

Cited by 11 publications

(11 citation statements)

References 9 publications

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“…In Fig. 2 we recall from [2] the architecture design of a biometric system using honey templates. During enrollment the Application Server converts the plain biometric feature B i of user i to a set of protected templates.…”

Section: A Honey Objects Database Designmentioning

confidence: 99%

“…1 and it can be applied to passwords, biometric templates and other objects which have similar properties with them, in terms of usage and storage. As in [2] for the i th user, the sugar object S i will be created from the user data and K-1 honey objects H ij (j = 1, 2, …, K-1) will be generated. These objects will pass through a protection mechanism (like hashing in passwords or one of the BTPS in biometric systems) having as a result a set of K protected objects: one SP i from the sugar object and K-1 protected honey objects HP ij (j=1, 2, …, K-1).…”

Section: A Honey Objects Database Designmentioning

confidence: 99%

“…Then we generate 20 PCA coefficient feature vectors, denoted as c1 auxq = (c1 auxq1 , c1 auxq2 , …, c1 auxq20 ) and c2 auxq = (c2 auxq1 , c2 auxq2 , …, c2 auxq20 ), from each of the two sub-sets, respectively, with 1≤ q ≤20. From the two groups of feature vectors c1 auxq and c2 auxq (1≤ q ≤20), a 20-dimensional mask vector m = (m 1 , m 2 , …, m 20 ) is constructed as: (2) where s j is defined as a sign value (+1 or -1) in eq. (3) depending on A j defined in eq.…”

Section: Honey Face Templatesmentioning

confidence: 99%

“…Juels in [1] proposes the idea of "honeywords" used on passwords and we extend this idea to the biometric templates. In this paper we elaborate further the architecture design for a biometric system using BTPS-based honey templates explained in [2] and apply this idea on faces. We also evaluate the security, biometric recognition performance and irreversibility of honey face templates.…”

Section: Introductionmentioning

confidence: 99%

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Protected Honey Face Templates

Martiri

Yang

Busch

2015

2015 International Conference of the Biometrics Special Interest Group (BIOSIG)

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Most existing biometric template protection schemes (BTPS) do not provide as strong security as cryptographic tools; and furthermore, they are rarely able to detect during a verification process whether a probe template has been leaked from the database or not (i.e., being used by an imposter or a genuine user). By using the "honeywords" idea, which was proposed to detect the cracking of hashed password database, we show in this paper how to enable the detectability of biometric template database leakage. We add an extra layer of protection since biometric features cannot be renewed. The biometric system design implies that protection mechanisms must satisfy the irreversibility property and to this respect we apply different correlation tests to show the non-distinguishability between genuine and honey templates. In this paper we implement the idea of a honey template protection scheme on faces and evaluate the security and accuracy performance.

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Section: A Honey Objects Database Designmentioning

confidence: 99%

Section: A Honey Objects Database Designmentioning

confidence: 99%

Section: Honey Face Templatesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Protected Honey Face Templates

Martiri

Yang

Busch

2015

2015 International Conference of the Biometrics Special Interest Group (BIOSIG)

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“…Yang and Martiri [37] proposed honey template-based template protection scheme to detect the biometric template database leakage. In the protection scheme, machine learning based classification algorithms is utilized to produce the sugar and honey templates applied in face [38].…”

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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Biometric template protection based on Bloom filters and honey templates

et al. 2016

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Biometric verification can be considered one of the most reliable approaches to person authentication. However, biometrics are highly sensitive personal data and any information leakage poses severe security and privacy risks. Biometric templates should hence be protected and impersonation with stolen templates must be prevented, while preserving system's performance. In this study, a general biometric template protection scheme based on honey templates and Bloom filters is proposed, in order to grant privacy protection to the enrolled subject and detect the use of stolen templates. The performance and security evaluations show the soundness of the proposed scheme for facial verification. The benchmark is conducted with the publicly available BioSecure Multimodal DB and the free Bob image processing toolbox, so that research is fully reproducible.

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Using Honey Templates to Augment Hash Based Biometric Template Protection

Cited by 11 publications

References 9 publications

Protected Honey Face Templates

Protected Honey Face Templates

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

Biometric template protection based on Bloom filters and honey templates

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