Title: Nefarious Mobile Phone Proximity Alerts
Project ID: Y1sMd0
Domain(s): Artificial Intelligence,Cybersecurity,Data Science,Machine Learning,Multidisciplinary


The Vormund Company, a Mobile Virtual Network Operator, sells an app that purports to track burner phones used in proximity to customers’ family members or business travelers. Burner phones (BP) can be used for legitimate privacy reasons or for nefarious activity including drug dealing, human trafficking, and business espionage. The company claims:
• Identify BP and location with accuracy of 100 meters
• Identify BP within 1 minute of transmission.
• Alert family members or businesspersons of BP threat
• Differentiate legitimate versus nefarious uses
Objectives: Determine efficacy of Vormund’s capability and identify techniques to both improve and defeat it. Determine capability in 5G.

Desired Skills:
Computer Science programming, math capabilities for geolocation processing, AI/ML techniques, cell phone functions and operations (i.e., International Mobile Subscriber Identifier (IMSI), International Mobile Equipment Identifier (IMEI); geolocation)


US Citizenship Required: No
Active Clearance or Background Investigation Required: No
Level Needed:

Team Information-

Targeted Students: Grad,Undergrad
Team Size: 2 to 4

Specific Requirements-

Focus on Particular University: No


Focus Timeline: Yes
Details: Initial Analysis by Jan 2022


Potential Funding:No
Note: Availability of funds not guaranteed

I’m Interested In this Project