NCAE-C Automated Risk Mitigation for Zero Trust Architecture (ARMZTA) Researcher

fig: https://www.iup.edu/cybersecurity/images/Grants/ncae-c-armzta/architecture.png

Summary (Adapted from IUP website)

Indiana University of Pennsylvania (IUP) received a grant during the 2022–23 academic year through the NCAE-C in Cybersecurity Education Research Innovation program, supported by the National Security Agency, to conduct a multi-year research project on risk mitigation in zero-trust environments. The project, titled “Innovative Autonomous Risk Detection and Mitigation Powered by Collaborative Machine Learning for Zero-trust Systems,” aims to develop an automated system that enhances cybersecurity by using collaborative machine learning techniques to detect, respond to, and mitigate cyber risks in networked systems. It focuses on securing zero-trust environments, assessing risks, optimizing detection procedures, automating responses, and building autonomous mitigation systems.

My Contributions

Technologies Used: Python, Network Security, Collaborative Machine Learning

• Developed the incorporation of collaborative machine learning in to the NIST Zero Trust Architecture.
• Edited and reviewed rough draft publications on the novel framework.
• Collaborated with a team to find the optimal path of efficiently and success within the novel architecture.
• Assisted in building a simulated corporate network to test the newly developed architecture.