Keith Sequeira Oklahoma State University MSIS 5633 CWID 10010784

1. Fake Call Traffic Detection
Keith Sequeira
MSIS 5633
Analysis using Tableau Desktop

2. Background
• Verizon - Database Analyst
• Invoice Validation
• Auto Dialers - fake traffic

3. Auto Dialers
• Fake call traffic generation
• Software
• Hardware

4. Data
• Call Detail Records (CDR)
• Vendor 1 – 1 Month – Bill cycle – Oct 2011
• Vendor 2 – 1 Month – Bill cycle – May 2011
– 3 Parts – split randomly

5. Edit Data
• Tools - MS Access
• Created fields
• Limited data by date

6. Tableau Desktop
• From Phone Number
• To Phone Number
• Billable Time

7. Vendor 1 – Auto Dialer
• Flat distribution of Billable Time
– NOT NORMAL

8. Vendor 1 - Basic Statistics
• Mean – 0.1594
• Standard Deviation – 0.1531
• Variance – 0.02343

9. Vendor 2 – Part 1
• Suspected Auto Dialer
– Flat distribution of Billable Time
• NOT NORMAL

10. Vendor 2- Part 1 - Basic Statistics
• Mean – 2.091
• Standard Deviation – 5.631
• Variance – 31.70

11. Vendor 2 – Part 2
• Suspected Auto Dialer
– Even distribution of Billable Time
• NORMAL

12. Vendor 2- Part 2 - Basic Statistics
• Mean – 4.433
• Standard Deviation – 10.01
• Variance – 100.2

13. Vendor 2 – Part 3
• Suspected Auto Dialer
– Flat distribution of Billable Time
• NOT NORMAL

14. Vendor 2- Part 3 - Basic Statistics
• Mean – 5.774
• Standard Deviation – 11.79
• Variance – 139.0

15. Conclusion
• HIGH VOLUME
– Same FROM number
– Same TO number
– Same Billable Time

16. Conclusion
• High likelihood of Fake Call Generation
• Need more research
• Thank you