CISC 849 : Applications in Fintech Stock Market Fraud Leonardo De La Rosa Institute for Financial...
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Transcript of CISC 849 : Applications in Fintech Stock Market Fraud Leonardo De La Rosa Institute for Financial...
CISC 849 : Applications in Fintech
Stock Market Fraud
Leonardo De La RosaInstitute for Financial Services Analytics
University of Delaware
CISC 849 : Applications in Fintech
Leonardo De La RosaInstitute for Financial Services Analytics
University of Delaware
Visualization of ATM Usage Patterns To Detect Counterfeit Cards Usage
Ben Reardon, Kara Nance and Stephen McCombie
CISC 849 : Applications in Fintech
Agenda
1 • Motivation
2 • Problem Description
3 • Fraud Life Cycle
4 • Digital Footprint
5 • Data
6 • Parallel Axis
7 • Contribution
8 • Future Considerations
9 • Startup
CISC 849 : Applications in Fintech
Motivation
• Why should we care?
Sophisticated Cybercriminals.1Unexpected attacks.2No short-term plan to switch to chip and pin.3Need for a crime-prevention approach.4
CISC 849 : Applications in Fintech
Motivation
• Why should we care?
Source: EMV: Lessons Learned and the U.S. Outlook. Aite Group, Inc
CISC 849 : Applications in Fintech
Motivation
• Why should we care?
Source: EMV: Lessons Learned and the U.S. Outlook. Aite Group, Inc
CISC 849 : Applications in Fintech
Problem• Card Present (CP) Fraud
Hypothesis of
Modus Operandi
VisualizationTechniques
Fraud Detection
CISC 849 : Applications in Fintech
Fraud Life Cycle
Counterfeiting Phase
Distribution Phase
Reconaissance Phase
Cashing Out Phase
• Four discrete phases:
Objective: detect potential misuse prior to the cashing-out phase
CISC 849 : Applications in Fintech
Digital Footprint
ATM Logs
CISC 849 : Applications in Fintech
Data
Not associated with any bank.1Illustrates common patterns of ATM usage.2
• ATM Logs
CISC 849 : Applications in Fintech
Unusual Activity: One ATM
Reconnaissance Phase
Balance check then withdrawal
Balance check onlyUnusual ActivityCounterfeit Cards?
Daily cash Limit
Grey= funds remainingBlack=account emptied
1000
500
5050 Withdrawal only
Normal activity profile
Normal activity profile
CISC 849 : Applications in Fintech
ATM Fleet Activity
CISC 849 : Applications in Fintech
ATM Fleet Activity
CISC 849 : Applications in Fintech
ATM Fleet Activity
CISC 849 : Applications in Fintech
ATM Fleet Activity
CISC 849 : Applications in Fintech
ATM Fleet Activity
CISC 849 : Applications in Fintech
Contribution
Patterns are easily identified.1Visualization enables the creation of rule sets2ATM datasets are already collected.3Account details are not necessary. 4
CISC 849 : Applications in Fintech
Future Considerations
Other Modus Operandi (more sophisticated cybercrime).
1
Card-Not-Present (CNP) form of fraud.
2Development of dashboard style displays.3
CISC 849 : Applications in Fintech
Start Up
Cloud Based System• Monitors firms’ systems in real time.
Credit Card Testing• Identification of fraudsters.
Visualization of Patterns • Streamline fraud review with data
visualization
Machine Learning• Leverages different signals to detect
fraudulent behavior
CISC 849 : Applications in Fintech
Thank You