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About The Effect of Public String On Extracted String in A Fuzzy Extractor
This document discusses the effect of public strings on extracted strings in fuzzy extractors. It contains the following key points: 1. A fuzzy extractor extracts a uniformly distributed string from noisy input in an error-tolerant way, outputting the string and a public string. The entropy loss is defined as the difference between the input's min-entropy and the conditional min-entropy given the extracted string. 2. It presents two theorems showing the relationship between entropy loss and public string size. Theorem 1 shows the entropy loss is approximately equal to the public string size with high probability. 3. Theorem 2 gives a bound on the size of the extracted string showing it is greater than the input min-entropy
Detailed Information
Author: | ['IJCNSVol2NO10'] |
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Publication Year: | 2010 |
Pages: | 4 |
Language: | English |
Format: | |
Price: | FREE |
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