An Attribute-based Statistic Model for Privacy Impact Assessment
Abstract
Personally Identifiable Information (PII) includes any information that can be used to distinguish or trace an individual’s identity such as name, social security number, date and place of birth, mother’s maiden name, or biometric records. It also includes other information that is linked or linkable to an individual, such as medical, educational, financial, and employment information. PII is often the target of attacks, and loss of PII could result in identity theft. According to the U.S. Department of Justice, the average number of U.S. identity fraud victims annually is 11,571,900 [1]. The total financial loss attributed to identity theft in 2013 was $21 billion dollars, compared to $13.2 billion total loss in 2010 [1].
This paper has been withdrawn.