The Generalized Randomized Iterate and Its Application to New Efficient Constructions of UOWHFs from Regular One-Way Functions

Abstract

AbstractThis paper presents the Generalized Randomized Iterate of a (regular) one-way function f and show that it can be used to build Universal One-Way Hash Function (UOWHF) families with O(n 2) key length.We then show that Shoup’s technique for UOWHF domain extension can be used to improve the efficiency of the previous construction. We present the Reusable Generalized Randomized Iterate which consists of k ≥ n + 1 iterations of a regular one-way function composed at each iteration with a pairwise independent hash function, where we only use logk such hash functions, and we “schedule” them according to the same scheduling of Shoup’s domain extension technique. The end result is a UOWHF construction from regular one-way functions with an O(n logn) key. These are the first such efficient constructions of UOWHF from regular one-way functions of unknown regularity.Finally we show that the Shoup’s domain extension technique can also be used in lieu of derandomization techniques to improve the efficiency of PRGs and of hardness amplification constructions for regular one-way functions.KeywordsHash FunctionSuccess ProbabilityRandom InputPseudorandom GeneratorRandomization StepThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.