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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dodis, Yevgeniy Smith, Adam |
| Abstract | This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak a significant amount of information about W --- that is, from the adversary's point of view, the entropy of W will drop significantly. Nevertheless, we construct schemes with which Alice and Bob can prevent an adversary from learning any useful information about W. Specifically, if the entropy of W is sufficiently high, then there is no function f(W) which the adversary can learn from the error-correction information with significant probability.This leads to several new results: (a) the design of noise-tolerant "perfectly one-way" hash functions in the sense of Canetti et al. [7], which in turn leads to obfuscation of proximity queries for high entropy secrets W; (b) private fuzzy extractors [11], which allow one to extract uniformly random bits from noisy and nonuniform data W, while also insuring that no sensitive information about W is leaked; and (c) noise tolerance and stateless key re-use in the Bounded Storage Model, resolving the main open problem of Ding [10].The heart of our constructions is the design of strong randomness extractors with the property that the source W can be recovered from the extracted randomness and any string W' which is close to W. |
| Starting Page | 654 |
| Ending Page | 663 |
| Page Count | 10 |
| File Format | |
| ISBN | 1581139608 |
| DOI | 10.1145/1060590.1060688 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-05-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Bounded storage model Information reconciliation Code obfuscation Error-correcting codes Cryptography Entropic security Randomness extractors |
| Content Type | Text |
| Resource Type | Article |
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