Design of a pseudo-chaotic number generator as a random number generator

International audienceGenerating random numbers is essential in manycryptographic applications like key generation, cryptographicprotocols for example Transport Layer Security (TLS) protocol,nonce and also in Internet for choosing TCP sequence numbers.We need generators which are able to construct large amountsof secure random numbers. To this end, True Random NumberGenerators (TRNGs) which extract randomness from physicalprocesses are usually used. The sequences generated by TRNGscannot be reproduced. However, generating random numbersby this way is time-consuming and expensive. Another way togenerate random numbers is to use deterministic random numbergenerators in which the seed is reseeded many times during thegeneration of the sequence. In this paper, we propose a newpseudo-chaotic number generator (PCNG) that produces randomnumbers. The algorithm is refreshed many times by using entropysource from Linux kernel. Results of statistical properties (i.e.Nist test, auto and cross-correlation, histogram, chi2-test andsoftware security analysis) exhibit good performance thus demonstratingthat the proposed generator can be used confidently toproduce random numbers