DocumentCode :
3710087
Title :
Three-Source Extractors for Polylogarithmic Min-Entropy
Author :
Xin Li
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ. Baltimore, Baltimore, MD, USA
fYear :
2015
Firstpage :
863
Lastpage :
882
Abstract :
We continue the study of constructing explicit extractors for independent general weak random sources. The ultimate goal is to give a construction that matches what is given by the probabilistic method - an extractor for two independent n-bit weak random sources with min-entropy as small as log n + O(1). Previously, the best known result in the two-source case is an extractor by Bourgain [1], which works for min-entropy 0.49n; and the best known result in the general case is an earlier work of the author [2], which gives an extractor for a constant number of independent sources with min-entropy polylog(n). However, the constant in the construction of [2] depends on the hidden constant in the best known seeded extractor, and can be large; moreover the error in that construction is only 1/poly(n). In this paper, we make two important improvements over the result in [2]. First, we construct an explicit extractor for three independent sources on n bits with min-entropy k ≥ polylog(n). In fact, our extractor works for one source with poly-logarithmic min-entropy and another independent block source with two blocks each having poly-logarithmic min-entropy. This significantly improves previous constructions, and the next step would be to break the 0.49n barrier in two-source extractors. Second, we improve the error of the extractor from 1/poly(n) to 2-kΩ(1), which is almost optimal and crucial for cryptographic applications. Some of our techniques may be of independent interests.
Keywords :
"Yttrium","Entropy","Cryptography","Computer science","Probabilistic logic","Distributed computing","Bipartite graph"
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on
ISSN :
0272-5428
Type :
conf
DOI :
10.1109/FOCS.2015.58
Filename :
7354432
Link To Document :
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