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Cryptographic Applications of Analytic Number Theory : Complexity Lower Bounds and Pseudorandomness / edited by Igor Shparlinski
(Progress in Computer Science and Applied Logic ; 22)

データ種別 電子ブック
出版者 Basel : Birkhäuser Basel : Imprint: Birkhäuser
出版年 2003
本文言語 英語
大きさ IX, 414 p : online resource

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EB0087212

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内容注記 I Preliminaries
1 Basic Notation and Definitions
2 Polynomials and Recurrence Sequences
3 Exponential Sums
4 Distribution and Discrepancy
5 Arithmetic Functions
6 Lattices and the Hidden Number Problem
7 Complexity Theory
II Approximation and Complexity of the Discrete Logarithm
8 Approximation of the Discrete Logarithm Modulop
9 Approximation of the Discrete Logarithm Modulop -1
10 Approximation of the Discrete Logarithm by Boolean Functions
11 Approximation of the Discrete Logarithm by Real Polynomials
III Approximation and Complexity of the Diffie-Hellman Secret Key
12 Polynomial Approximation and Arithmetic Complexity of the
Diffie-Hellman Secret Key
13 Boolean Complexity of the Diffie-Hellman Secret Key
14 Bit Security of the Diffie-Hellman Secret Key
IV Other Cryptographic Constructions
15 Security Against the Cycling Attack on the RSA and Timed-release Crypto
16 The Insecurity of the Digital Signature Algorithm with Partially Known Nonces
17 Distribution of the ElGamal Signature
18 Bit Security of the RSA Encryption and the Shamir Message Passing Scheme
19 Bit Security of the XTR and LUC Secret Keys
20 Bit Security of NTRU
21 Distribution of the RSA and Exponential Pairs
22 Exponentiation and Inversion with Precomputation
V Pseudorandom Number Generators
23 RSA and Blum-Blum-Shub Generators
24 Naor-Reingold Function
25 1/M Generator
26 Inversive, Polynomial and Quadratic Exponential Generators
27 Subset Sum Generators
VI Other Applications
28 Square-Freeness Testing and Other Number-Theoretic Problems
29 Trade-off Between the Boolean and Arithmetic Depths of ModulopFunctions
30 Polynomial Approximation, Permanents and Noisy Exponentiation in Finite Fields
31 Special Polynomials and Boolean Functions
VII Concluding Remarks and Open Questions
一般注記 The book introduces new ways of using analytic number theory in cryptography and related areas, such as complexity theory and pseudorandom number generation. Key topics and features: - various lower bounds on the complexity of some number theoretic and cryptographic problems, associated with classical schemes such as RSA, Diffie-Hellman, DSA as well as with relatively new schemes like XTR and NTRU - a series of very recent results about certain important characteristics (period, distribution, linear complexity) of several commonly used pseudorandom number generators, such as the RSA generator, Blum-Blum-Shub generator, Naor-Reingold generator, inversive generator, and others - one of the principal tools is bounds of exponential sums, which are combined with other number theoretic methods such as lattice reduction and sieving - a number of open problems of different level of difficulty and proposals for further research - an extensive and up-to-date bibliography Cryptographers and number theorists will find this book useful. The former can learn about new number theoretic techniques which have proved to be invaluable cryptographic tools, the latter about new challenging areas of applications of their skills
著者標目 Shparlinski, Igor editor
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Data encryption (Computer science)
LCSH:Applied mathematics
LCSH:Engineering mathematics
LCSH:Number theory
FREE:Mathematics
FREE:Number Theory
FREE:Data Encryption
FREE:Applications of Mathematics
分 類 DC23:512.7
巻冊次 ISBN:9783034880374 REFWLINK
ISBN 9783034880374
URL http://dx.doi.org/10.1007/978-3-0348-8037-4
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