Title
Generation of Pseudo-random Numbers Based on Network Traffic
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
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.
Start page
481
End page
493
Volume
12468 LNAI
Language
English
OCDE Knowledge area
Ciencias de la computación Bioinformática
Scopus EID
2-s2.0-85092612170
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
ISBN of the container
9783030608835
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sources of information: Directorio de Producción Científica Scopus