Generation of Pseudo-random Numbers Based on Network Traffic

Marroquin W.; Santisteban J. · Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) · DOI: 10.1007/978-3-030-60884-2_37

Resumen

The Pseudo Random Numbers generators can be based on chaotic maps; they are still deterministic functions, so it is possible to predict future results. On the other hand, we have the real random number generators that comply with the mentioned characteristics, this is possible at the cost of high latency and slowness by the use of physical processes. In this article, the use of network traffic in the generation of random sequences is tested. An equation is used to improve the statistical properties of the method. It is verified that network traffic tends to be more chaotic in spaces with a larger number of users. Results show that the method generates very different sequences, but with unequal bit generation. We present a method for the generation of pseudo random numbers based on network traffic, minimizing the repetition of generated sequences.

Instituciones: Universidad Católica San Pablo