Template Protection for Multimodal Biometric System.
ABSTRACT In order to meet the application requirements regarding universality, permanence and performance, many multimodal biometric approaches have been proposed in recent decades. In these approaches, fused templates are stored unprotected as biometric reference in a token or database. Once the database is compromised, the attacker can potentially learn details that are sensitive to the data subject and obtain sufficient information to impersonate the subject. This paper proposes a template protection approach for multimodal biometric systems, which stores a hash value instead of the fused template. The adaptive non-uniform quantization (ANUQ) method is used to eliminate the gap between the fuzzy character of biometric features and the sensitivity of the hash function. Experiments show that our approach increases the security of the system while the level of biometric performance kept.
- SourceAvailable from: Asker M. Bazen
Conference Paper: Practical Biometric Authentication with Template Protection.[Show abstract] [Hide abstract]
ABSTRACT: We show the feasibility of template protecting biometric authentication systems. In particular, we apply template protection schemes to fingerprint data. Therefore we first make a fixed length representation of the fingerprint data by applying Gabor filtering. Next we introduce the reliable components scheme. In order to make a binary representation of the fingerprint images we extract and then quantize during the enrollment phase the reliable components with the highest signal to noise ratio. Finally, error correction coding is applied to the binary representation. It is shown that the scheme achieves an EER of approximately 4.2% with secret length of 40 bits in experiments.Audio- and Video-Based Biometric Person Authentication, 5th International Conference, AVBPA 2005, Hilton Rye Town, NY, USA, July 20-22, 2005, Proceedings; 01/2005
- JDIM. 01/2008; 6:168-173.
Article: Biometric Template Security[Show abstract] [Hide abstract]
ABSTRACT: Biometric recognition offers a reliable solution to the problem of user authentication in identity management systems. With the widespread deployment of biometric systems in various applications, there are increasing concerns about the security and privacy of biometric technology. Public acceptance of biometrics technology will depend on the ability of system designers to demonstrate that these systems are robust, have low error rates, and are tamper proof. We present a high-level categorization of the various vulnerabilities of a biometric system and discuss countermeasures that have been proposed to address these vulnerabilities. In particular, we focus on biometric template security which is an important issue because, unlike passwords and tokens, compromised biometric templates cannot be revoked and reissued. Protecting the template is a challenging task due to intrauser variability in the acquired biometric traits. We present an overview of various biometric template protection schemes and discuss their advantages and limitations in terms of security, revocability, and impact on matching accuracy. A template protection scheme with provable security and acceptable recognition performance has thus far remained elusive. Development of such a scheme is crucial as biometric systems are beginning to proliferate into the core physical and information infrastructure of our society.Journal on Advances in Signal Processing 01/2008; · 0.81 Impact Factor