Date of Award

6-2018

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Engineering and Sciences

First Advisor

Marco Carvalho

Second Advisor

Anthony Smith

Third Advisor

Thomas Eskridge

Fourth Advisor

Philip Bernhard

Abstract

There are a variety of tools available to users to perform cyber experimentation, and many of them automate some aspects of the experimentation lifecycle. However, they either support a minimal subset of the tools across various experimentation environments, or solve a particular problem in the cyber experiment lifecycle. In pursuit of making cyber experimentation easier and more efficient, we introduce a new framework that can design, create, execute and analyze experiments and is agnostic of the underlying environments. We show the effectiveness of our framework by presenting a prototype implementation and perform two case studies using the prototype implementation. We also consider some of the advantages of this automated framework.

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