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Number Theoretic Methods in Cryptography - Complexity lower bounds (Paperback, Softcover reprint of the original 1st ed. 1999) Loot Price: R1,441
Discovery Miles 14 410
Number Theoretic Methods in Cryptography - Complexity lower bounds (Paperback, Softcover reprint of the original 1st ed. 1999):...

Number Theoretic Methods in Cryptography - Complexity lower bounds (Paperback, Softcover reprint of the original 1st ed. 1999)

Igor Shparlinski

Series: Progress in Computer Science and Applied Logic, 17

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Loot Price R1,441 Discovery Miles 14 410 | Repayment Terms: R135 pm x 12*

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The book introduces new techniques which imply rigorous lower bounds on the complexity of some number theoretic and cryptographic problems. These methods and techniques are based on bounds of character sums and numbers of solutions of some polynomial equations over finite fields and residue rings. It also contains a number of open problems and proposals for further research. We obtain several lower bounds, exponential in terms of logp, on the de grees and orders of * polynomials; * algebraic functions; * Boolean functions; * linear recurring sequences; coinciding with values of the discrete logarithm modulo a prime p at suf ficiently many points (the number of points can be as small as pI/He). These functions are considered over the residue ring modulo p and over the residue ring modulo an arbitrary divisor d of p - 1. The case of d = 2 is of special interest since it corresponds to the representation of the right most bit of the discrete logarithm and defines whether the argument is a quadratic residue. We also obtain non-trivial upper bounds on the de gree, sensitivity and Fourier coefficients of Boolean functions on bits of x deciding whether x is a quadratic residue. These results are used to obtain lower bounds on the parallel arithmetic and Boolean complexity of computing the discrete logarithm. For example, we prove that any unbounded fan-in Boolean circuit. of sublogarithmic depth computing the discrete logarithm modulo p must be of superpolynomial size.

General

Imprint: Springer Basel
Country of origin: Switzerland
Series: Progress in Computer Science and Applied Logic, 17
Release date: October 2012
First published: 1999
Authors: Igor Shparlinski
Dimensions: 235 x 155 x 10mm (L x W x T)
Format: Paperback
Pages: 182
Edition: Softcover reprint of the original 1st ed. 1999
ISBN-13: 978-3-03-489723-5
Categories: Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > General
Books > Science & Mathematics > Mathematics > Number theory > General
LSN: 3-03-489723-5
Barcode: 9783034897235

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