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Workshop on 2/27/2025: Cross-Cultural Cyber Resilience: Evaluating Health Model Assumptions in Security Decision-Making

Please join the Ostrom Workshop Cyber Public Health Working Group for a presentation titled “Evaluating Health Model Assumptions in Security Decision-Making” which will be led by William Smeal.

William Smeal is a PhD student at Indiana University, currently completing his dissertation in absentia. His research spans various fields related to literacy in the digital and cyber age, with a particular focus on cybersecurity. He is especially interested in phishing resilience and identification, examining how writing style, language usage, and perceptions of formality and officiality contribute to establishing legitimacy in cyberspace. Given the Anglo-centric nature of much of the internet, he also explores internet habits among diverse, non-English-speaking populations.

Event Details: 

Date: Thursday, February 27th
Time: 12:00 pm ET.

Registration Link: Register Here

**Note: This session will be recorded.**
 
Models of economic and health behaviors have been applied to computer security decision-making. One argument against health models is that cybersecurity behavioral factors may vary widely across cultures, while human biology remains the same. This presentation will explore the degree to which assumptions of cybersecurity decision-making are consistent across two cultural and linguistic spheres of influence. Specifically, we replicate a study of phishing resilience that was implemented across five English-speaking nations in four nations within the Cyrillic orthographic zone. We compare the overall resilience and weight of factors between the two population groups. Our findings illustrate that there were few indicators of significant difference between the two human subjects studies. While the comparisons of the results open questions that can only be answered with the passage of time, overall the implications support arguments for the application of health models to cybersecurity. 
 

To join the working group, to be notified of upcoming workshops, and to learn more about our ongoing research, please sign up for the mailing list.

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The CyberGreen Institute (“CyberGreen”) Is a non-profit, charitable organization dedicated to the creation and dissemination of metrics measuring the Cyber health of networks along with related data, metrics, and analysis. We also assist network operators with the adoption of Cyber hygiene best practices and risk remediation. A big part of our mission is the collection, calculation, and public distribution of our CyberGreen Index. The CyberGreen Index and the other data that we publish on this website is released under the Affero General Public License (version 3) (the “License”). The use of License ensures that our data remains freely accessible and freely useable by members of the public. (In rare circumstances, we may use another license to distribute data, in which case the specific data set will not be available without a click-thru notice specifying the specific license that applies.)

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We do not publish personally identifiable information (PII) or other information that implicates third party privacy rights. CyberGreen is committed to being compliant with GDPR. Our compliance efforts have been certified by the Institute for Social Internet Public Policy (ISIPP).

TERMS OF USE

The CyberGreen Institute (“CyberGreen”) Is a non-profit, charitable organization dedicated to the creation and dissemination of metrics measuring the Cyber health of networks along with related data, metrics, and analysis. We also assist network operators with the adoption of Cyber hygiene best practices and risk remediation. A big part of our mission is the collection, calculation, and public distribution of our CyberGreen Index. The CyberGreen Index and the other data that we publish on this website is released under the Affero General Public License (version 3) (the “License”). The use of License ensures that our data remains freely accessible and freely useable by members of the public. (In rare circumstances, we may use another license to distribute data, in which case the specific data set will not be available without a click-thru notice specifying the specific license that applies.)

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