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Applied Cryptography: Protocols, Algorithms and Source Code in C, 20th Anniversary Edition
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Applied Cryptography: Protocols, Algorithms and Source Code in C, 20th Anniversary Edition

by Bruce Schneier
March 2015
Intermediate to advanced
784 pages
24h 11m
English
Wiley
Content preview from Applied Cryptography: Protocols, Algorithms and Source Code in C, 20th Anniversary Edition

CHAPTER 16

Pseudo-Random-Sequence Generators and Stream Ciphers

16.1 LINEAR CONGRUENTIAL GENERATORS

Linear congruential generators are pseudo-random-sequence generators of the form

Xn = (aXn − 1 + b) mod m

in which Xn is the nth number of the sequence, and Xn − 1 is the previous number of the sequence. The variables a, b, and m are constants: a is the multiplier, b is the increment, and m is the modulus. The key, or seed, is the value of X0.

This generator has a period no greater than m. If a, b, and m are properly chosen, then the generator will be a maximal period generator (sometimes called maximal length) and have period of m. (For example, b should be relatively prime to m.) Details on choosing constants to ensure maximal period can be found in [863,942]. Another good article on linear congruential generators and their theory is [1446].

Table 16.1, taken from [1272], gives a list of good constants for linear congruential generators. They all produce maximal period generators and even more important, pass the spectral test for randomness for dimensions 2, 3, 4, 5, and 6 [385,863]. They are organized by the largest product that does not overflow a specific word length.

The advantage of linear congruential generators is that they are fast, requiring few operations per bit.

Unfortunately, linear congruential generators cannot be used for cryptography; they are predictable. Linear congruential generators were first broken by Jim Reeds [1294,1295,1296] and then by Joan Boyar [ ...

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