The project plans to initially develop six self-contained and adaptive modules, including (1) Cyber Threat Intelligence (CTI) and malware attack stages, (2) Malware knowledge representation and CTI sharing, (3) Malware data collection and feature identification, (4) AI assisted malware detection, (5) Malware classification and attribution, (6) Advanced malware research topic and case studies. Each module consists of multiple lectures and lab sessions and will have all the prerequisite information to be used independently. The team will continue to add more modules and new experiential learning exercises as the state of the art develops in the domain, to ensure that the most relevant and updated concepts are taught to the students. We take a two-pronged approach to implementation by integrating our proposed independent modules in various undergraduate or graduate courses (at TTU), and by developing a new course (at MSU and NC A&T).

Dr. Maanak Gupta (Tennessee Tech University)

Dr. Sudip Mittal (Mississippi State University)

Dr. Mahmoud Abdelsalem (North Carolina A&T State University)

Publicly available detailed course description - https://arxiv.org/abs/2009.11101

This project was funded by the National Science Foundation