Date of Award
Spring 3-2022
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Cyber Operations (PhDCO)
Department
Computer Science
First Advisor
Josh Pauli
Second Advisor
Wayne E. Pauli
Third Advisor
Deb Tech
Fourth Advisor
Andrea Matwyshyn
Fifth Advisor
Kevin Nassery
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.
Recommended Citation
Stanislav, Mark A., "Multi-dimensional Security Integrity Analysis of Broad Market Internet-connected Cameras" (2022). Masters Theses & Doctoral Dissertations. 376.
https://scholar.dsu.edu/theses/376