CHEESE: Cyber Human Ecosystem of Engaged Security Education

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Abstract

This Innovative Practice Full Paper presents CHEESE, a platform for cybersecurity education that complements formal classroom instruction with hands-on experience. With the ubiquitous use of computing devices and applications today, the protection of personal and privileged information is a persistent challenge. Modern software applications are typically complex pieces of code that borrow from various preexisting software libraries. Consequently, a flaw in one piece of software can have far-reaching and often unintended security implications that malicious actors can exploit. Thus, cybersecurity education needs to be transformed from a purely academic enterprise for cybersecurity researchers into a necessary skill that is imparted to the current and future IT workforce at large. CHEESE aims to impart such skills. CHEESE is composed of CHEESEHub, a public web-platform hosting demonstrations of cybersecurity concepts, a set of lessons complementing the demonstrations, and a community-driven approach to the contribution of new demonstrations and lessons. CHEESE is intended to supplement and enhance traditional cybersecurity education with hands-on training that has been shown to improve concept retention and understanding. Instructors can incorporate CHEESE into their teaching in several ways: by utilizing one or more of the demonstrations hosted on the publicly-accessible CHEESEHub in conjunction with the web-accessible lessons; by deploying their own version of CHEESEHub with a custom set of demonstrations and lessons; or by developing their own lesson plan which borrows from and combines one or more demonstrations on CHEESEHub. The use of CHEESEHub only requires a web-browser and can hence be employed in a wide variety of educational and training settings from K-12 schools through university.

Publication
2020 IEEE Frontiers in Education
Baijian Yang
Baijian Yang
Associate Dean for Research and Professor of Computer and Information Technology

My research interests include applied machine learning, big data and cybersecurity.

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