Date of Award
5-2017
Type
Thesis
Major
BS/MS Computer Science
Degree Type
MS
Department
TSYS School of Computer Science
First Advisor
Yesem Kurt-Peker
Second Advisor
Radhouane Chouchane
Third Advisor
Rodrigo Obando
Abstract
A pseudorandom number generator (PRNG) is an algorithm that produces a sequence of numbers which emulates the characteristics of a random sequence. In comparison to its genuine counterpart, PRNGs are considered more suitable for computing devices in that they do not consume a lot of resources (in terms of memory) and their portability; they can also be used on a wide range of devices. Cryptographically Secure PRNGs (CSPRNGs) are the only type of PRNGs suitable for cryptographic applications. They are specially designed to withstand security attacks. In this thesis, we provide descriptions of two CSPRNGs: Trivium, a hardware-based stream cipher designed for constrained computing environments, and OpenJDK SecureRandom, a traditional CSPRNG recommended for Java programs that include a cryptographic algorithm. Our contributions are Quadrivium, a PRNG inspired by Trivium and analysis results comparing statistical properties of SecureRandom, Trivium and Quadrivium.
Recommended Citation
Jackson, Latoya Niesha, "A Trivium-Inspired Pseudorandom Number Generator with a Statistical Comparison to the Randomness of SecureRandom and Trivium" (2017). Theses and Dissertations. 353.
https://csuepress.columbusstate.edu/theses_dissertations/353
