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NCATComp410 / comp410_spring_2024

COMP410 spring 2024 semester
MIT License
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Detect IT_DRIVER_LICENSE #24

Closed jruff2001 closed 8 months ago

jruff2001 commented 9 months ago

This issue addresses the detection of US Driver's License Information, a critical form of Personally Identifiable Information (PII). Driver's license details, including numbers typically consisting of 1 Alpha digit + 7-12 digits, within North Carolina the format is 12 digits. This serves as form of identification and authorization for many credentials in the US.

Protection of US Driver's License information is crucial because of its role in verifying identity, granting driving privileges, and accessing various services. Compromising this data exposes individuals to identity theft, financial fraud, and unauthorized access to sensitive resources.

Effective detection and protection mechanisms are necessary to prevent risks and try to protect individuals' privacy and security.

Click here to view more information on Driver's Licenses being a form of PII that are crucial to protect for your own privacy and safety.

I'll use the example of 000012345678 for a US Driver's License in North Carolina based on the National Traffic Safety Institute format.

claesmk commented 9 months ago

@jruff2001 you should be able to assign this to yourself, add your team label, and sprint-1 milestone

jruff2001 commented 9 months ago

Sorry about that @claesmk! Everything has been changed, should look good.

1ogcotu commented 9 months ago

Thank you for the detailed description on the PII Driver License Number, I like that you included the financial impact of this PII being compromised. One question I have is does the format of the DLN reveal which state may have issued it? For example (222)0000000000 may indicate SC instead of NC?

bgbryan2002 commented 9 months ago

Your description stating the importance of protecting Italian Drivers License information as a form of PII provided great insight. Being able to verify identity to grant privileges of access to combat fraudulent behavior from adversaries who seek to abuse others information is extremely important.