Titlebook: Security with Noisy Data; On Private Biometric Pim Tuyls,Boris Skoric,Tom Kevenaar Book 2007 Springer-Verlag London 2007 Anti-counterfeitin

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Privacy Enhancements for Inexact Biometric Templates these techniques are widely used, they have several limitations. Both tokenand knowledge-based approaches cannot differentiate between an authorized user and an impersonator having access to the tokens or passwords. Biometrics-based authentication schemes overcome these limitations while offering u

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Protection of Biometric Information, several biometric modalities are used, such as fingerprint, face, iris, hand geometry, and so forth. Recently, biometric systems are becoming increasingly popular because they potentially offer more secure solutions than other identification means such as PIN codes and security badges because a bi

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Controlled Physical Random Functionsttackers, who open a device to steal its key, is a challenging problem. We propose controlled physical random functions1 (CPUFs) as an alternative to digital key storage, and we describe the core protocols that are needed to use CPUFs.

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Secure Key Storage with PUFsin it or lies in the services the device can grant access to (by using secret identification information stored in it). These devices often operate in hostile environments and their protection level is not adequate to deal with that situation. Bank passes and credit cards contain a magnetic stripe w

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Book 2007iew of the techniques and applications of security based on noisy data...It covers both the theory of authentication based on noisy data and shows it in practice as a key tool for prevention of counterfeiting. Biometrics and physical unclonable functions are discussed extensively. Key new technologi

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Robust and Reusable Fuzzy Extractorsementary credentials such as a short memorized password or a physical token. However, the use of biometrics in cryptography does not come without problems. Some difficulties are technical, such as the lack of uniformity and the imperfect reproducibility of biometrics, but some challenges are more fundamental.

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Entropy Estimation for Optical PUFs Based on Context-Tree Weighting Methodsrce entropy also in the 2-D stationary case. Moreover, we generalize Maurer‘s result [196] to the ergodic case, thus showing that we get realistic estimates of the achievable secrecy rate. Finally, we use these results to estimate the secrecy rate of speckle patterns from optical PUFs.

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Fuzzy Identities and Attribute-Based Encryption biometric identities, which inherently will have some noise each time they are sampled. Additionally, we show that fuzzy IBE can be used for a type of application that we term "attribute-based encryption."