Research Areas
Biography and Research Information
OverviewAI-generated summary
Marie Louise Uwibambe researches cybersecurity, focusing on vulnerability management and the application of fuzzing techniques to detect flaws in critical infrastructure. Her work investigates methods for optimizing vulnerability remediation actions in operational technology (OT) environments and explores the use of reinforcement learning for input mutation in fuzzing processes. Uwibambe has also developed a fuzzing framework specifically designed for securing Programmable Logic Controller (PLC) control logic in industrial automation. She has authored five publications and has a citation count of 13, with an h-index of 2. Her recent collaborations include work with Kylie McClanahan, Yanjun Pan, Sky Elder, and Rithyka Heng at the University of Arkansas at Fayetteville.
Metrics
- h-index: 2
- Publications: 6
- Citations: 13
Selected Publications
-
Vulnerability Discovery In Industrial Control Systems Using Fuzzing (2025)
-
Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments (2025)
-
A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing (2025)
-
Safeguarding Industrial Automation: A Fuzzing Framework for PLC Control Logic (2025)
-
When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly (2024)
-
Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices (2023)
Collaboration Network
Top Collaborators
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- Safeguarding Industrial Automation: A Fuzzing Framework for PLC Control Logic
- A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing
Similar Researchers
Based on overlapping research topics