<p>An example of default characteristics for a single fake identity, Bella Tessier . The front of the identification card provides a visual representation of the personal identification characteristics that would be found on a typical identification card. The rear of the identification card provides further characteristics of identity, such as gender, race, employment, security questions, education, etc.</p> Full article ">Figure 2
<p>Top-level process for generation of fake IDs.</p> Full article ">Figure 3
<p>An image of address validation API with different levels of validation shown.</p> Full article ">Figure 4
<p>Image of an example ID with its attributes listed. All of the attributes listed are default for all IDs. If an ID needs an additional attribute, the title is placed in the additionalFieldHeaders section and the associated value is placed in the additionalFields section. If an attribute was used for the signup, then the corresponding index number will be set to True in the prngUsed section. If an attribute needs to be changed in any manner for the signup, then the prngNotes will reflect all changes made by listing the attribute and the value it was changed to for all applicable attributes. Additionally, the dateUsed and researchQuestion attributes are set upon signup completion.</p> Full article ">Figure 5
<p>Overview of fake ID generation flow.</p> Full article ">Figure 6
<p>Method calls that enable access to the collection of fake identities.</p> Full article ">Figure 7
<p>Histogram of the <span class="html-italic">Income</span> attribute of all 100K IDs plotted in Matlab.</p> Full article ">