Research Projects
Year 1 - 2019
1) Research Topics- Bowie State University
Cyber Threat Intelligence Discovery Using Machine Learning
Mentor: Dr. Azene Zenebe
Research Question: How effective are various machine learning algorithms for Cyber Threat Intelligence discovery from dark web form posts, which are unstructured data?
Hypotheses:
- Function-based Machine Learning algorithms have higher accuracy than Tree-based Machine Learning algorithms.
- Function-based Machine Learning algorithms have higher reliability than Tree-based Machine Learning algorithms.
2) Framework To Secure Industrial Control Systems
Mentors: Dr. Guy-Alain Amoussou and Dr. Azene Zenebe
Research Questions:
- How do we design a framework to support the security of ICS/SCADA systems for critical infrastructures?
- How can we visualize and monitor cyber threats to successfully prevent attacks on ICS/SCADA systems?
Year 2 - 2021
1) Strengthening Industrial Control Systems(ICS) Security through Incident Response (IR)
Mentor: Dr. Guy-Alain Amoussou
Project Goals:
- To implement software defined networking (SDN) and network function virtualization (NFV) enabled incident response(IR) in industrial control systems (ICS) to enhance its security.
2) A Machine Learning Approach to Enhancing Intrusion Detection Systems
Mentors: Dr. David Anyiwo
Research Question:
- How effective are various machine learning algorithms in ensuring network security and enhancing intrusion detection systems?
Research Goal:
- Find the most accurate machine learning algorithm that can increase intrusion detection systems efficiency through automation.
3) Analysis of Privacy and Vulnerabilities in Home IoT Enabled Smart Device
Mentors: Dr. Rosemary Shumba
Research Goal:
- The goal of this project was to identify and analyze vulnerabilities within the smart home environment and then proposing privacy best practices to countermeasure the threats.