Statistical Analysis of Identity Risk of Exposure and Cost Using the Ecosystem of Identity Attributes

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Presented at EISIC 2019 by

Chia-ju Chen

Razieh Barber

Personally Identifiable Information (PII) is often called the "currency of the Internet" as identity assets arecollected, shared, sold, and used for almost every transaction on the Internet. PII is used for all types ofapplications from access control to credit score calculations to targeted advertising. Every market sector relies onPII to know and authenticate their customers and their employees. With so many businesses and governmentagencies relying on PII to make important decisions and so many people being asked to share personal data, it iscritical to better understand the fundamentals of identity to protect it and responsibly use it. Previously developedcomprehensive Identity Ecosystem utilizes graphs to model PII assets and their relationships and is powered byempirical data from almost 6,000 real-world identity theft and fraud news reports to populate the UT CID IdentityEcosystem. We obtained UT CID Identity Ecosystem from its authors to analyze using graph theory. We reportnumerous novel statistics using identity asset content, structure, value, accessibility, and impact. Our work shedslight on how identity is used and paves the way for improving identity protection.