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Random Number Generators - Principles and Practices : A Guide for Engineers a...
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Item specifics
- Condition
- Book Title
- Random Number Generators - Principles and Practices : A Guide for
- ISBN
- 9781501515132
- Subject Area
- Computers
- Publication Name
- Random Number Generators--Principles and Practices : a Guide for Engineers and Programmers
- Item Length
- 9.4 in
- Publisher
- DEG Press
- Subject
- Software Development & Engineering / Quality Assurance & Testing, Programming / Algorithms, Hardware / General, Security / Cryptography
- Publication Year
- 2018
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Width
- 6.7 in
- Item Weight
- 29 Oz
- Number of Pages
- 439 Pages
About this product
Product Information
Random numbers come in many forms and distributions. Some represent measured data. Some are generated numbers intended to have a uniform distribution. Some are generated to have other distributions such as Gaussian (otherwise known as 'normal', binomial, logarithmic or one of many other distributions. They may be represented at decimal numbers or in another base such as hexadecimal which is common in computer science. They may be fractional or floating point. Often they are displayed graphically to show some property. In this book we take a look at some of the more common distributions and forms. Readers will learn: The different types of Random Number Generators The S/W tools used to generate random numbers Testing for randomness
Product Identifiers
Publisher
DEG Press
ISBN-10
1501515136
ISBN-13
9781501515132
eBay Product ID (ePID)
6038736370
Product Key Features
Publication Name
Random Number Generators--Principles and Practices : a Guide for Engineers and Programmers
Format
Trade Paperback
Language
English
Subject
Software Development & Engineering / Quality Assurance & Testing, Programming / Algorithms, Hardware / General, Security / Cryptography
Publication Year
2018
Type
Textbook
Subject Area
Computers
Number of Pages
439 Pages
Dimensions
Item Length
9.4 in
Item Width
6.7 in
Item Weight
29 Oz
Additional Product Features
Intended Audience
Scholarly & Professional
Grade from
College Graduate Student
Grade to
College Graduate Student
Table of Content
1 Introduction 1.1 Tools 1.2 Terminology 1.3 The Many Types of Random Numbers 1.3.1 Uniform Random Numbers 2 Random Number Generators 2.1 Classes of Random Number Generators 2.2 Names for RNGs 3 Making Random Numbers 3.1 A Quick Overview of the RNG Types 3.2 The Structure of Full RNG Implementations 3.3 Pool Extractor Structures 3.4 Multiple Input Extractors 4 Physically Uncloneable Functions 21 4.1 The other kind 'AS Static vs. Dynamic Random Number Generators . 5 Testing Random Numbers 5.1 Known Answer Tests 5.2 Distinguishing From Random 5.3 PRNG Test Suites 5.4 Entropy Measurements 5.5 Min Entropy Estimation 5.6 Model Equivalence Testing 5.7 Statistical Prerequisite Testing 5.8 The problem Distinguishing Entropy and Pseudo-randomness 5.9 PRNG Tests: DieHarder, NIST SP800-22,TestU01, China ICS 35.040 5.10 Entropy Measurements 5.11 Min Entropy Measurements 5.12 Modeling to Test a Source 5.13 Statistical Prerequisites 5.14 Testing for bias . 5.15 results that are 'AYtoo good'AZ (E.G. Chi-square == 0.5) 5.16 Distinguishing Correlation from Bias 5.17 Testing for Stationary properties 5.18 FFT analysis 5.19 Online Testing 5.20 Working From the Source RNG 5.21 Tools 5.22 Summary 6 Entropy Extraction or Distillation 6.1 A simple extractor, the XOR gate 6.2 A simple way of improving the distribution of random numbers that have known missing values using XOR 7 Quantifying Entropy 7.1 Rényi Entropy 7.2 Distance From Uniform Topics to put somewhere in the book- in existing chapters and new chapters 8.1 XOR as a 2 bit extractor 8.2 Properties of real random numbers 8.3 Binomial distributions 8.4 Normal distributions 8.4.1 Dice, more dice 8.4.2 Central limit theorem 8.5 Seeing patterns 8.6 Regression to the mean 8.7 Lack of correlation, bias, algorithmic connections, predictability 8.8 What's a True random number? 8.9 Random numbers in cryptography 8.10 Things they help with liveness, unpredictability, resistance to attacks 8.11 Examples of use 8.11.1 Salting Passwords . 8.11.2 802.11i exchange 8.11.3 PKMv2 exchange 8.11.4 Making Keys 8.12 Examples of RNG crypto failures 8.12.1 Sony PS3 attack 8.12.2 MiFare Classic 8.12.3 Online Poker 8.12.4 Debian OpenSSL Fiasco 8.12.5 Linux Boot Time Entropy 8.13 Humans and random numbers 8.14 Result of asking people for a random number 8.14.1 Normal People 8.14.2 Crypto People 8.15 Mental Random Number Tricks 8.15.1 How to think of a really random number 8.16 PRNGs 8.17 extractors 8.17.1 CBC MAC 8.17.2 BIW 8.17.3 Von Neumann 8.18 Extractor Theory 8.19 Random Number Standards 8.19.1 SP800-90A B C . 8.19.2 Ansi X9.82 8.20 PRNG Algorithms 8.20.1 SP800-90A CTR DRBG 8.20.2 SP800-90A SHA DRBG 8.20.3 XOR Construction 8.20.4 Oversampling Construction 8.21 Yarrow 8.22 Whirlpool 8.23 Linux Kernel random service 8.24 Appendices 8.25 Resources 8.25.1 SW Sources 8.25.2 Online random number sources 8.26 Example Algorithm Vectors 8.26.1 SP800-90A CTR DRBG 128 & 256 8.26.2 SP800-90A Hash DRBG SHA-1 & SHA 256 8.26.3 AES-CBC-MAC Conditioner 128 8.26.4 AES-CBC-MAC Conditioner 8.27 SP800-90 LZ Tests Issues
Copyright Date
2018
Illustrated
Yes
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