Relations among Security Metrics for Template Protection Algorithms
Manabu Inuma, Akira Otsuka

TL;DR
This paper formalizes and discusses the relationships among security metrics for biometric template protection algorithms, aiming to standardize evaluation methods across different approaches.
Contribution
It provides formal definitions for existing security metrics and analyzes their interrelations, facilitating consistent evaluation of biometric protection algorithms.
Findings
Formal definitions of security metrics for biometric protection algorithms.
Analysis of relationships among different security notions.
Enhanced framework for evaluating biometric template security.
Abstract
Many biometric template protection algorithms have been proposed mainly in two approaches: biometric feature transformation and biometric cryptosystem. Security evaluation of the proposed algorithms are often conducted in various inconsistent manner. Thus, it is strongly demanded to establish the common evaluation metrics for easier comparison among many algorithms. Simoens et al. and Nagar et al. proposed good metrics covering nearly all aspect of requirements expected for biometric template protection algorithms. One drawback of the two papers is that they are biased to experimental evaluation of security of biometric template protection algorithms. Therefore, it was still difficult mainly for algorithms in biometric cryptosystem to prove their security according to the proposed metrics. This paper will give a formal definitions for security metrics proposed by Simoens et al. and…
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Taxonomy
TopicsBiometric Identification and Security · User Authentication and Security Systems · graph theory and CDMA systems
