In cryptography, the property of randomness in pseudo-random generators is very important to avoid any pattern in output sequences, to provide security against attacks, privacy and anonymity. In this article, the randomness of the family of sequences obtained from the generalized self-shrinking generator is analyzed. Moreover, the characteristics, generalities and relationship between the t-modified self-shrinking generator and the generalized self-shrinking generator are presented. We find that the t-modified self-shrunken sequences can be generated from a generalized self-shrinking generator. Then, an in-depth analysis of randomness focused on the generalized sequences by means of complete and powerful batteries of statistical tests and g...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Abstract. Cryptographic primitives such as secure hash functions (e.g., SHA1, SHA2, and SHA3) and sy...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
In cryptography, the property of randomness in pseudo-random generators is very important to avoid a...
In cryptography, the property of randomness in pseudo-random generators is very important to avoid a...
Keystream sequences should look as random as possible, i.e. should present no logical pattern to be ...
Trabajo presentado en el 13th International Conference on Computational Intelligence in Security for...
27 páginas, 8 tablas, 2 figurasOutput sequences of the cryptographic pseudo-random number generator,...
Using the so-called m-sequences as input, the Self-Shrinking Generator (SSG) was introduced in 1996 ...
Output sequences of the cryptographic pseudo-random number generator, known as the generalized self-...
AbstractThis work shows that the output sequences of a well-known cryptographic generator, the so-ca...
Pseudo random and true random sequence generators are important components in many scientific and te...
AbstractShrinking is a newly proposed technique for combining a pair of pseudo random binary sequenc...
This book offers a broad survey of all information made public - from 1993 until today - on keystrea...
The generalized self-shrinking generator is a sequence generator that produces binary sequences with...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Abstract. Cryptographic primitives such as secure hash functions (e.g., SHA1, SHA2, and SHA3) and sy...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
In cryptography, the property of randomness in pseudo-random generators is very important to avoid a...
In cryptography, the property of randomness in pseudo-random generators is very important to avoid a...
Keystream sequences should look as random as possible, i.e. should present no logical pattern to be ...
Trabajo presentado en el 13th International Conference on Computational Intelligence in Security for...
27 páginas, 8 tablas, 2 figurasOutput sequences of the cryptographic pseudo-random number generator,...
Using the so-called m-sequences as input, the Self-Shrinking Generator (SSG) was introduced in 1996 ...
Output sequences of the cryptographic pseudo-random number generator, known as the generalized self-...
AbstractThis work shows that the output sequences of a well-known cryptographic generator, the so-ca...
Pseudo random and true random sequence generators are important components in many scientific and te...
AbstractShrinking is a newly proposed technique for combining a pair of pseudo random binary sequenc...
This book offers a broad survey of all information made public - from 1993 until today - on keystrea...
The generalized self-shrinking generator is a sequence generator that produces binary sequences with...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Abstract. Cryptographic primitives such as secure hash functions (e.g., SHA1, SHA2, and SHA3) and sy...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...