Stream Ciphers Analysis Methods

Abstract

The purpose of this paper is to present and to discuss analysis methods applied in symmetric cryptography, especially on stream ciphers. The tests were made on some algorithms and also on the personal symmetric cryptographic algorithm, HENKOS, based on a pseudorandom number generator. The test confirms that the algorithm appears to be secure and fast. The paper describes first the main parts of the cryptosystem, its implementation and different analysis methods. The code is written in the C/C++ language. The software application and the tests applied were processed on a PC computer. The quality analysis presents the results of many classical statistical tests, comparing some algorithms based especially on pseudo random number generators. The tests use standard sequence of 12.5 MB resulted from some test generators. The main part of the work presents selected results for the most important statistical tests like: FIPS 1401, FIPS 1402 , ENT tests, Diehard battery of tests, NIST Statistical Test Suite. The final question is: are these tests enough to certifie the quality of a tested algorithm?

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“…We used stream ciphers because they are characterized by [12]: small size, high speed, minimal consumption of computational resources, these properties making them proper for running on mobile devices. Encryption is accomplished by combining plaint text secret file with the secret key.…”

Data Hiding in 3D-Medical Image

“…A random number generator (RNG) or a PRNG, which is a computer method that creates randomly examined results, are used to create keys. Linear recurrence, non-linear congruence, linear feedback shift registry (LFSR), cellular automata, the non-linear issue with logarithms, and other approaches are used to produce pseudo-random numbers [10,11]. Pseudo-random number sequences are commonly used in communication and digital computing applications.…”