Fraud Detection
Showing 14 of 14 projects
An open-source browser fingerprinting library that generates a unique visitor identifier from browser attributes, even in incognito mode.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
A curated collection of academic papers on data mining and machine learning techniques for fraud detection across various domains.
A curated collection of resources for software engineers building billing, payments, pricing and accounting systems.
A curated collection of resources for software engineers building billing, payments, and financial systems for cloud platforms.
A real-time anomaly detection algorithm for dynamic graph streams, identifying intrusions, fraud, and fake ratings with constant memory and update time.
Open-source teaching materials for a practical Machine Learning in Finance course, focusing on industry tools and real-world use cases.
A real-time online/offline charging system (OCS) for telecom and ISP environments with modular micro-services architecture.
A peer-to-peer SIP honeypot and fraud detection tool that collects and shares malicious IP addresses and phone numbers.
Go SDK for IP geolocation, WHOIS lookup, and hosted domain APIs from IP2Location.io.
Deprecated repository for fraud and risk management specifications and development within the Mojaloop ecosystem.
An Elixir library for interacting with the SiftScience API to manage fraud detection and user scoring.
Java SDK for IP geolocation, WHOIS lookup, and hosted domain APIs with comprehensive IP address data enrichment.
A Dropwizard bundle for integrating MaxMind GeoIP2 databases to add geolocation and IP intelligence to Java web services.
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