Author
Celi, Christopher T.
Other Contributors
Yener, Bülent, 1959-; Zikas, Vassilis; Krishnamoorthy, M. S.;
Date Issued
2016-12
Subject
Computer science
Degree
MS;
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.; Attribution-NonCommercial-NoDerivs 3.0 United States
Abstract
In an ever-evolving digital world, the onset of the Internet of Things leads to a new problem in secure communications. Embedded devices may lack the computational power to generate high entropy random numbers for cryptographic purposes. With proper infrastructure such as a quantum random number generator acting as a server, these devices could utilize randomness mergers to combine their local entropy with that of the cloud to produce cryptographically secure random numbers. This paper evaluates the randomness produced from using an xor scheme and a curve scheme to merge both relatively weak entropy sources and high entropy sources with quantum data. The resulting bit streams are compared to the originals to determine if an improvement in entropy was noticeable.;
Description
December 2016; School of Science
Department
Dept. of Computer Science;
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection;
Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;