A Comparative Study on Pseudo Random Number Generators in IoT devices

Bachelor thesis (2021)

Authors

E. Alkan Electrical Engineering, Mathematics and Computer Science

Contributors

Z. Erkin Cyber Security - EEMCS (mentor)
M. Ayşen Cyber Security - EEMCS (mentor)
W.P. Brinkman Interactive Intelligence - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Efe Alkan
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Published Date

02-07-2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Pseudo-random number generators are the essential part of many security protocols such as signature schemes, key-exchange protocols and encryption algorithms. The security of these protocols is usually dependent on the quality of the generators they use. The generation of unpredictable random numbers supplies refreshment to the protocols, which makes them harder to break. In this paper, an extensive comparative study made on some of the well known and some interesting pseudo-random generators. These generators consist of xorshift, xorshiftStar, PCG, CMWC and Fortuna. They are tested according to some criteria, which consists of efficiency, security and statistical randomness quality. Possible IoT usages are suggested for each generator according to their results. In the end, for the xorshift and xorshiftStar generators, improvements are suggested to increase their statistical quality and security.

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