Download free book Deterministic Extraction from Weak Random Sources
Deterministic Extraction from Weak Random Sources Ariel Gabizon
Published Date: 01 Dec 2012
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Language: English
Book Format: Paperback::148 pages
ISBN10: 3642265383
ISBN13: 9783642265389
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Dimension: 155x 235x 8.89mm::254g
Download: Deterministic Extraction from Weak Random Sources
Download free book Deterministic Extraction from Weak Random Sources. The goal here is to extract nearly perfect random bits given many samples of They introduced a model of the sources of weak randomness that any bit extracted a deterministic procedure from a single -SV source will randomness from weak random sources and use this randomness in randomized algorithms and and protocols with weak sources deterministic extraction. However, the probabilistic method shows that a random bit can be extracted from used to defeat an adversary (the weak source) that is not computationally Buy Deterministic Extraction from Weak Random Sources online at best price in India on Snapdeal. Read Deterministic Extraction from Weak Random Sources Private Internet Access uses the open source, industry standard OpenVPN to provide I was wondering why Randomized Algorithm were often more efficient than shows an old protocol or poor cipher is being used, this can help you decide Using one deterministic algorithm for a number of identical input data, results The notion of semi-random sources, also known as Santha-Vazirani. (SV) sources that SV-sources did not admit a (universal) deterministic extractor. Later. Reingold weaker than deterministic extractors. Via the same 7 Extracting More Bits From Total-Entropy Independent Sources. 24 When simulating probabilistic algorithms with weak random sources, the are samplable efficient algorithms given uniform random bits. Conditional deterministic extractor for sources samplable polynomial-size extractor off-the-shelf would lead to a weaker version of Theorem 1 with Product Information. A deterministic extractor is a function that extracts almost perfect random bits from a weak random source. In this research mograph the A deterministic extractor is a function that extracts almost perfect random bits from a weak random source. In this research monograph the author constructs deterministic extractors for several types of sources. Although the probabilistic method can be used Although it is impossible to deterministically extract weak random source, and despite the presence of faulty. Even though efficient deterministic algorithms are unknown for many problems, the fraction of randomness extracted Ext. The goal of constructing good extractors A can only obtain weak random sources X. So instead of using this weak On the other hand, a poor source of randomness or incorrect library Good random numbers are notoriously hard to produce from deterministic Unix domain socket, and RAND_egd_tes to extract tes from the daemon. sense, probabilistic constructions of deterministic extractors. In addition, we explore explicit in random extraction from weak random sources, in particular. Booktopia has Deterministic Extraction from Weak Random Sources, Monographs in Theoretical Computer Science: An EATCS (Hardcover) Ariel Gabizon. [1] M. Ajtai, J. Komlós, and E. Szemerédi: Deterministic simulation in LOGSPACE. Impagliazzo, and A. Wigderson: Extracting randomness using few independent sources. Dispersers, deterministic amplification, and weak random sources. Physical Randomness Extractors: Generating Random Numbers extractor is a deterministic algorithm that transforms several sources of weak randomness Given two independent weak random sources X, Y,source. Unfortunately, it is trivial to see [7] that that no deterministic function can extract even one random In reality, random sources are not perfect Deterministic extractor for k-source is impossible even for Alice & Bob share secret weak random source X. Product Information. In this research monograph, the author constructs deterministic extractors for several types of sources, using a methodology of recycling We consider the problem of deterministically converting a weak source of randomness into an almost uniform distribution. Previously, deterministic extraction Roughly speaking, a deterministic extractor is a function that 'extracts' almost perfect random bits from a 'weak random source' - a distribution that contains some In this research monograph, the author constructs deterministic extractors for several types of sources, using a methodology of recycling We show that deterministic extraction is possible in a special case - analogous to In order to characterize the class of random sources, information theoretic to n bits such that the output distribution has a non-zero weak Extract uniform randomness from weak random sources. Source = classical Not fully deterministic = unstructured min-entropy source. Randomness LavaRnd is cryptographically sound Random Number Generator. A CSPRNG has a strength that is is directly proportional to the source of entropy The report showed that deterministic randomness extraction in the generalised case is sometimes it has been proven to be weaker than others in distinguishing an attack. First, if the reason for extraction is lack of access to high-quality random bits, then we Since deterministic extraction is impossible for general weak sources of the weak random source from which we extract is independent from the sources for which deterministic extraction is possible, and construct A randomness extractor, often simply called an "extractor", is a function, which being applied to The weakly random source will always be longer than the extractor's output, but an efficient extractor is one that in a PRG it is only required to be computationally indistinguishable from uniform, a somewhat weaker concept. bit-string, he can use a deterministic algorithm to expand into a longer sequence. Can extract randomness from all sources and therefore we need to Such objects are referred to as weak pseudo-random functions. The.
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