Doctoral

Current Doctoral Students

Mazin Abbas , advised by Dr. Nathan Green
Research Area: Evaluating the Impact of IAM Implementations

Dustin Bade , advised by Dr. Nathan Green
Research Area: Reliable Audio Deepfake Detection for Mobile Devices

Completed Theses

Water/Wastewater Treatment Plants Must Implement Cyber-Resilience
Fall 2024
By Samuel Agidie
Advisor: Andrew Hall

Cybersecurity Development Strategies for Mali
Spring 2022
By Abdoul Dolo
Advisor: Andrew Hall

Agent-Based Modeling to Determine the Risk to a Swarm of Unmanned Aerial Vehicles under an Adversarial Artificial Intelligence Attack
Spring 2023
By Nawaris Almerza
Advisor: Andrew Hall

Towards A More Equitable Digital Future: Examining the Intersectionality Of Digital Trust & Equity in the Face Of Rapid Technological Advancement
Spring 2023
By Safiatu Mojidi
Advisor: Andrew Hall

An Analysis of Biometric ATM Adoption Using Game Theory
Spring 2023
By Christopher Sokol
Advisor: Andrew Hall

Detecting Insider Threats Using Machine Learning and Trust Scores
Spring 2023
By Michael Williams
Advisor: Andrew Hall

Exploring Military Maritime Autonomous Surface Ships: Cybersecurity Conditions
Spring 2024
By Tristan Li
Advisor: Andrew Hall

Reducing Entropy Through Targeted Information Sharing: An Exploratory First Principles Approach To Closing The Gaps In Modern Security Operations Centers
Summer 2024
By Thomas Kim III
Advisor: Andrew Hall

Defensive AI: Experimental Study
Spring 2023
By Jeremy Mchugh
Advisor: Nathan Green

Avoiding an Identity Crisis: An Identity And Access Management Competency Model
Spring 2023
By Kenneth Myers
Advisor: Nathan Green

Fake It: Attacking Privacy Through Exploiting Digital Assistants Using Voice Deepfakes
Spring 2023
By Justin Ubert
Advisor: Nathan Green

Web SQL Injection Attack Detection Algorithm Using Deep Learning
Spring 2024
By Beza Abi
Advisor: Nathan Green

Resolving Dark Web Identities: Language and User Handle Matching
Summer 2021
By Babur Kohy
Advisor: Nathan Green

An Analysis of the Default Security Posture of Common Linux Distributions
Summer 2024
By John Roy
Advisor: Nathan Green

The P-Fryer: Using Machine Learning and Classification to Effectively Detect Phishing Emails
Spring 2021
By Barbar Saleem
Advisor: Nathan Green

Assessing the Viability of Privacy, Ethics, and Utility in Machine Learning Experiments via Analysis of Structured Data
Spring 2024
By Bipun Thapa
Advisor: Nathan Green

Using Sentiment Analysis to Detect Cyber Attacks and Enhance Customer Experience
Summer 2024
By Wael Faheem
Advisor: Nathan Green