Explore a comprehensive analysis of cyber risk quantification in this 16-minute IEEE presentation. Delve into the challenges of linking security to harm, examine naive regression approaches, and learn how to effectively model cyber risk. Discover techniques for measuring latent variables through reflexive indicators, and analyze typical mitigation and harm studies. Gain insights into full causal models and the classification of various studies in the field. Review meta-analyses of stock market reactions and understand the contradictory nature of data breach studies. Recognize the complexities involved in quantifying cyber risk, especially when dealing with sub-components of complex systems. Conclude with a deeper understanding of the intricacies and importance of cyber risk assessment in today's digital landscape.
Overview
Syllabus
universität innsbruck
Naively Linking Security to Harm
Naive Regressions
How to Model Cyber Risk?
Measuring Latent Variables via Reflexive Indicators
Typical Mitigation Study
Typical Harm Study
Full Causal Model
Classifying Studies
Meta Review of Stock Market Reactions
Contradictory Data Breach Studies
Quantifying Cyber Risk is Tricky There is more data about sub-components of complex systems
Conclusion
Taught by
IEEE Symposium on Security and Privacy
