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.