There are 16 repositories under fraud topic.
Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
Anomaly detection related books, papers, videos, and toolboxes
Open-source infrastructure and data orchestration platform for risk decisioning
💰 Billing & Payments knowledge for cloud platforms
Leading open source version of browser device fingerprint, accurate deviceID and risk identification.
DNS Block Lists
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Python package for detecting copy-move attack on a digital image
Protect your SIP Servers from bad actors at https://sentrypeer.org
Modern Web Firewall: stop account takeovers, weak passwords, cloud IPs, DoS attacks, disposable emails
block pesky malicious pop ads.
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
Prevent card-attack fraud on WooCommerce stores by rate-limiting the "place order" button
"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.
Case Studies on Forensic Accounting using Data Analysis
Music and text generation with Transformer-XL.
A Flutter plugin for the native FingerprintJS Pro libraries
Decentralized Social Network Money Frauds/Scams including BitClout / DeSo, Twetch, Steemit, PeakD
Implementation of an intelligence system to detect the fraud cases on the basis of classification.
Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.
Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
Classification of fraudulent credit card transactions.
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
Node.js wrapper for FingerprintJS Server API
🚨 Hoaxwagen detects Volkswagen in dependencies to prevent tests fraud
PHP SDK for Fingerprint Pro Server API
Protect online forms from spam by making them perform Proof of Work (PoW).
Utilizing AutoXGB for Credit Card Financial Fraud Detection
Java SDK for Fingerprint Pro Server API
Python SDK for Fingerprint Pro Server API
Ethereum Fraud Detection Models
Go SDK for Fingerprint Pro Server API
Experiment with Benford's Law to find data anomalies in number lists and images (Windows, macOS, Linux, .NET 8.0, x64, Arm64, Apple Silicon)