This textbook offers a full 7-week college undergraduate/graduate course on cybersecurity risk quantification. A companion Excel-based toolkit with models is included and available for download in the book's resource section.
No prior experience with risk quantification is required.
The course is divided into seven modules. Students are introduced to basic and advanced methods and models for quantifying cyber risk. Students will perform a risk analysis and present their findings in week 7. In module 1, they are given background information for the course project and their first basic tool for quantifying risk. In module 2, they learn how to analyze vulnerability data and receive another tool to complete that work. In module 3, they will perform an attack analysis based on a scenario they will develop, and they are given their first model to quantify that risk. In module 4, they are given several tools and a fully functional FAIR-compliant model, and they will quantify risk in financial terms. In module 5, they are given two advanced models: a probability tree and a Bayesian Inference model. In module 6 students focus on best practices for present their results and communiating risk. In module 7, students deliver their analysis.
- Subject:
- Applied Science
- Computer Science
- Material Type:
- Full Course
- Provider:
- Boise State University
- Date Added:
- 07/26/2024