Date of Award

Spring 3-2022

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Business and Information Systems

First Advisor

Dr. Josh Pauli

Second Advisor

Dr. Wayne E. Pauli

Third Advisor

Dr. Deb Tech

Abstract

This study used a quantitative approach with a cross-sectional, descriptive analysis survey design to examine the adherence of 40 internet-connected cameras against three IoT security frameworks to determine their overall security posture. Relevant literature was reviewed showing that prior studies in a similar regard had limitations, such as a small sample population, singular market segment focus, and/or a lack of validation against formalized frameworks. This study resulted in a uniform and multi-dimensional set of findings with supporting evidence, leading to a mapping against selected IoT security frameworks that was then quantitatively analyzed for their relative adherence as individual cameras, across market segments, and for the overall sample population. The resultant data provides numerous pervasive gaps in the current state of IoT security that will need to be addressed to ensure consumers are properly protected.

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