Extractors for the Real World
Kundi Xue (School of Computer and Information Sciences, Georgia Southwestern State University, USA)
Marius Zimand (Department of Computer and Information Sciences, Towson University, Towson, MD, USA and Department of Computer Science, University of Bucharest, Romania)
Abstract: Extractors are a special type of binary graphs that can be utilized to improve the quality of randomness sources that generate strings with small entropy. The paper explores constructions of extractors that are practical and easy to implement. Randomized and deterministic constructions are presented and compared with some previously known constructions that achieve very good asymptotical performances. One of our methods is shown to have a better behavior for reasonable values of the involved parameters.
1 C.S.Calude and G.Stefanescu (eds.). Automata, Logic, and Computability. Special issue dedicated to Professor Sergiu Rudeanu Festschrift.
Keywords: Random bits, extractors, hash functions, source of randomness
Categories: F.2.2, G.2.2, G.3