Author

Ahmad Abusini

Date of Award

Spring 3-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Cyber Defense (PhDCD)

First Advisor

Edward Dennis

Second Advisor

Varghese Vaidyan

Third Advisor

Austin O'Brien

Abstract

This dissertation addresses the evolving security challenges brought about by the widespread adoption of smart home technology. Despite the transformative impact on daily life, the rapid evolution has created unprecedented security risks. The research focuses on filling a crucial gap in the existing literature by delving into Risk-Based Access Control (RBAC) specifically tailored to smart homes. While RBAC has been explored in broader contexts and within the Internet of Things (IoT), there is a notable absence of in-depth research on its application in securing smart homes. Employing a mixed-methods approach, including literature review, expert interviews, and risk assessment, the study develops and evaluates a comprehensive RBAC model, incorporating a novel risk factor called Contextual Device Behavioral Risk (CDBR) and utilizing Bayesian Device Behavioral Modeling for risk estimation. Validation involves expert reviews, comparisons with existing literature, and a meticulous examination of the proposed RBAC model's effectiveness in addressing dynamic risks in smart home environments. The anticipated contribution lies in providing a nuanced understanding of smart home technology's dynamic risks and offering an adaptive security approach through the innovative RBAC model, empowering users against evolving cyber threats. The study aims to advance the discourse on modern access control systems, safeguarding the integrity and privacy of smart home ecosystems. Furthermore, the research extends its scope to propose practical guidelines for implementing the RBAC model in real-world smart home environments. By addressing deployment challenges, user adoption concerns, and interoperability issues, the study aims to bridge the gap between theoretical advancements and practical applications.

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