Graduation Year
2023
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Information Systems and Decision Sciences
Major Professor
He Zhang, Ph.D.
Co-Major Professor
Balaji Padmanabhan, Ph.D.
Committee Member
Manish Agrawal, Ph.D.
Committee Member
Sagar Samtani, Ph.D.
Committee Member
Nasir Ghani, Ph.D.
Keywords
Algorithmic Bias, Cybersecurity, EHR Systems, Robust Optimization
Abstract
This dissertation research focuses on two key aspects of cybersecurity research. Security safeguard allocation, and AI-powered tools for anomaly detection. The first dissertation essay (Chapter 1) proposes a novel framework for the allocation of security countermeasures in the presence of uncertainty using robust optimization technique. The second dissertation essay (Chapter 2) studies the impact of algorithmic bias on the practice of insider threat detection in Electronic Health Record Systems and proposes a mitigations strategy. The final dissertation essay (Chapter 3) investigates how the biases of anomaly detection algorithms, and the characteristics of ensemble methods relate to the ensembles’ accuracy and capability in mitigating the biases of individual models.
Scholar Commons Citation
Farokhnia, Moez Hamedani, "Essays on Cybersecurity and Information Privacy" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10435
