Masters Theses

Keywords and Phrases

Byzantine Fault Tolerance; Distributed network; Hypergeometric distribution; Permissioned Blockchain; Private blockchain; Variable Node

Abstract

“Byzantine Fault Tolerance (BFT) has been a major subject of study over the last two decades with increasing societal dependance on secure, correct, and reliable computer systems and online services. This research presents a model for high-level optimization of emerging systems that rely on these BFT algorithms and use a variable numbers of decision nodes. The model highlights the relationship between the security of a system and its efficiency. Two experiments were performed to determine system performance by varying the number of compromised nodes, decision nodes, and total nodes. They examine the probability that a transaction will be compromised based on these variables using hypergeometric distribution, a subset of combinatorics. It was found that the compromise probability follows predictable patterns, with certain combinations of decision nodes performing better than others. The results show a trichotomous relationship where one in every three decision nodes results in lower security risk than its neighbors. The purpose of this model is to assist system developers in deciding how to best construct their systems to improve security while minimizing resource usage”--Abstract, page iii.

Advisor(s)

Corns, Steven

Committee Member(s)

Kwasa, Benjamin J.
Long, Suzanna, 1961-

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Comments

The author would like to thank the Boeing company for funding his research project.

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2022

Pagination

x, 36 pages

Note about bibliography

Includes bibliographic references (pages 34-35).

Rights

© 2022 Ian Robert Fulton, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12109

Electronic OCLC #

1380759451

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