Show Abstract
In this paper, we extend the mathematical representation and implementation model of the UT CID Identity Ecosystem representing PII attributes and relationships to incorporate international PII. Previously, the UT CID Identity Ecosystem model has been primarily populated using data about US theft and fraud cases to include PII attributes used to transact crime as well as accidental exposure of PII attributes. Statistics are also calculated and associated with respective PII attributes such as the frequency of exposure occurrences for respective PII attributes, monetization value of PII (i.e. financial consequences of the crime), and strength of relationships between PII attributes. This research describes how the content of the UT CID Identity Ecosystem and resulting analysis change when PII attributes from international identity theft and fraud cases are incorporated. Not only are the PII attributes different in an international UT CID Identity Ecosystem, the relationships between PII attributes change, the monetization value of PII attributes change, and the risk of exposure change when worldwide identity theft and fraud cases are considered.
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