{"repo":"AmirhosseinHonardoust/The-Psychology-of-Fraud","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/The-Psychology-of-Fraud","clone":"git clone https://github.com/AmirhosseinHonardoust/The-Psychology-of-Fraud.git","description":"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.","language":null,"stars":19,"topics":["anomaly-detection","behavioral-analytics","behavioral-science","credit-card-fraud","crime-analysis","cybersecurity","data-science","digital-identity","explainable-ai","financial-crime"],"license":"MIT","category":"security-tools","readme_excerpt":"The Psychology of Fraud: Behavioral Signals Hidden Inside Transaction Data A Deep Exploration of Human Intent, Behavioral Deviations, Cognitive Biases, and Their Statistical Fingerprints in Financial Systems --- Introduction: The Human Mind Behind Every Transaction Every transaction carries psychological meaning. A genuine purchase reflects the internal landscape of a customer’s life, their habits, preferences, emotions, routines, goals, and constraints. Fraud, however, reflects the cognitive strategies of an adversary navigating a high-risk, high-reward environment. Fraud detection is often taught as a technical exercise: train a classifier, tune thresholds, compute metrics, deploy a model. But that shallow framing misses the essence of fraud entirely. Fraud is behavioral . Fraud is psychological . Fraud is intentional . And where there is intention, there is pattern. This article breaks fraud down not through algorithms, but through human cognition and how it manifests in transaction metadata . We will explore fraud on four interconnected layers: --- Layer 1, Cognitive Psychology: How fraudsters think , perceive risk, estimate probability of detection, and behave under pressure. Layer 2, Behavioral Patterns: How those thoughts generate consistent, measurable decision-making behaviors. Layer 3, Digital Footprints: How behavior converts into device, network, and transactional metadata. Layer 4, Machine Learning Features: How metadata becomes predictive variables inside a frau","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/The-Psychology-of-Fraud/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}