توضیحات
ABSTRACT
Our techniques apply not just to biometric information,but to any keying material that,unlike traditional cryptographic keys,is (1) not reproducible precisely and (2) not distributed uniformly. We propose two primitives: a fuzzy extractor reliably extracts nearly uniform randomness R from its input;the extraction is error-tolerant in the sense that R will be the same even if the input changes, as long as it remains reasonably close to the original.Thus, R can be used as a key in a cryptographic application.A secure sketch produces public information about its input w that does not reveal w, and yet allows exact recovery of w given another value that is close to w. Thus, it can be used to reliably reproduce error-prone biometric inputs without incurring the security risk inherent in storing them.
INTRODUCTION
Cryptography traditionally relies on uniformly distributed and precisely reproducible random strings for its secrets.Reality, however,makes it difficult to create,store,and reliably retrieve such strings.Strings that are neither uniformly random nor reliably reproducible seem to be more plentiful. For example, a random person’s fingerprint or iris scan is clearly not a uniform random string, nor does it get reproduced precisely each time it is measured. Similarly, a long pass-phrase(or answers to 15 questions [FJ01] or a list of favorite movies [JS06]) is not uniformly random and is difficult to remember for a human user.This work is about using such nonuniform and unreliable secrets in cryptographic applications. Our approach is rigorous and general, and our results have both theoretical and practical value.
Year: 2008
Publisher: Springer, Berlin, Heidelberg
By: Yevgeniy Dodis,Rafail Ostrovsky,Leonid Reyzin,Adam Smith
File information: English Language / 47 Page / Size :366 KB
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سال: 2008
ناشر: Springer, Berlin, Heidelberg
کاری از: Yevgeniy Dodis,Rafail Ostrovsky,Leonid Reyzin,Adam Smith
اطلاعات فایل: زبان انگلیسی/ 47 صفحه/ حجم 366 کیلوبایت
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