CHEESE: Cyber human ecosystem of engaged security education

Baijian Yang, Rajesh Kalyanam, Craig Willis, Mike Lambert, Christine Kirkpatrick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The CHEESE project supplements and enhances traditional cybersecurity education with hands-on, practical experience in common cybersecurity flaws and solutions. CHEESE requires only a web browser, allowing users to develop cybersecurity skills without compromising their own computer or spending hours setting up a complex virtual machine (VM) or sandbox environment. In this tutorial we will conduct a hands-on walkthrough of a couple of cybersecurity demonstrations on CHEESE and present an overview of the platform and the community-driven contribution and development process.

Original languageEnglish (US)
Title of host publicationSIGITE 2019 - Proceedings of the 20th Annual Conference on Information Technology Education
PublisherAssociation for Computing Machinery, Inc
Pages189-190
Number of pages2
ISBN (Electronic)9781450369213
DOIs
StatePublished - Sep 26 2019
Event20th Annual Conference on Information Technology Education, SIGITE 2019 - Tacoma, United States
Duration: Oct 3 2019Oct 5 2019

Publication series

NameSIGITE 2019 - Proceedings of the 20th Annual Conference on Information Technology Education

Conference

Conference20th Annual Conference on Information Technology Education, SIGITE 2019
CountryUnited States
CityTacoma
Period10/3/1910/5/19

Keywords

  • Cloud computing
  • Containers
  • Cybersecurity
  • Education

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Education

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  • Cite this

    Yang, B., Kalyanam, R., Willis, C., Lambert, M., & Kirkpatrick, C. (2019). CHEESE: Cyber human ecosystem of engaged security education. In SIGITE 2019 - Proceedings of the 20th Annual Conference on Information Technology Education (pp. 189-190). (SIGITE 2019 - Proceedings of the 20th Annual Conference on Information Technology Education). Association for Computing Machinery, Inc. https://doi.org/10.1145/3349266.3351393