EAGER: SaTC AI-Cybersecurity: SAGA: A Framework for Developing Attributable Cybersecurity Case Studies
Researcher
Sponsoring Agency:
National Science Foundation
Summary
We propose a flexible framework, named as SAGA, where scholars can easily create cybersecurity case studies (similar to business case studies) that have AI components. Further, by adopting the notion of “citation” in academic world and implementing it using public platforms (e.g., arXiv, Github, Kaggle), SAGA enables the developed case studies to be easily found and shared in the community, and the authors of case studies to be rightfully attributed for their efforts, thereby encouraging more participation from scholars in creating and sharing case studies. Finally, we plan to evaluate the effectiveness of the developed case studies in helping students’ learning on cybersecurity concepts and skills.
Research Area
Term
May 1, 2021–April 30, 2025