AmirhosseinHonardoust/The-Psychology-of-Fraud
A deep exploration of how human psychology shapes fraud behavior and how those patterns become measurable signals in transaction data. This article reveals the behavioral, cognitive, and economic forces behind fraud, explaining how ML models detect deviations, anomalies, and intent hidden within financial transactions.
This article helps financial crime analysts and fraud investigators understand how fraudsters think and behave, revealing patterns hidden within transaction data. It explains what goes into a fraud model (transaction details, device info, location) and how that data reflects the psychological tactics of criminals, helping them identify suspicious activities more effectively.
Use this if you need to understand the 'why' behind fraud patterns in financial transactions, linking criminal psychology to observable data points for better fraud detection and investigation.
Not ideal if you're looking for a technical guide on building or deploying a machine learning model for fraud detection.
Stars
18
Forks
—
Language
—
License
MIT
Category
Last pushed
Dec 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AmirhosseinHonardoust/The-Psychology-of-Fraud"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/fraudfinder
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on...
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
jube-home/aml-fraud-transaction-monitoring
Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring
aws-solutions-library-samples/fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using...
curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for...