Fine-grained disclosure of access policies
ICICS'10 Proceedings of the 12th international conference on Information and communications security
DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security
Protecting privacy in data release
Foundations of security analysis and design VI
Enforcing confidentiality and data visibility constraints: an OBDD approach
DBSec'11 Proceedings of the 25th annual IFIP WG 11.3 conference on Data and applications security and privacy
Supporting concurrency in private data outsourcing
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
Private data indexes for selective access to outsourced data
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Investigating fusion approaches in multi-biometric cancellable recognition
Expert Systems with Applications: An International Journal
Modeling and preventing inferences from sensitive value distributions in data release
Journal of Computer Security - STM'10
An OBDD approach to enforce confidentiality and visibility constraints in data publishing
Journal of Computer Security - DBSec 2011
Supporting concurrency and multiple indexes in private access to outsourced data
Journal of Computer Security - Research in Computer Security and Privacy: Emerging Trends
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A serious concern in the design and use of biometric authentication systems is the privacy protection of the information derived from human biometric traits, especially since such traits cannot be replaced. Combining cryptography and biometrics, several recent works proposed to build the protection in the biometric templates themselves. While these solutions can increase the confidence in biometric systems when biometric information is stored for verification, they have been shown difficult to apply to real biometrics. In this work we present a biometric authentication technique that exploits multiple biometric traits. It is privacy-aware as it ensures privacy protection and allows the extraction of secure identifiers by means of cryptographic primitives. We also discuss the implementation of our approach by considering, as a significant example, the combination of iris and fingerprint biometrics and present experimental results obtained from real data. The implementation shows the feasibility of the scheme in practical applications.