fraud-detection
Here are 792 public repositories matching this topic...
🎁 Blocks browser-based crypto mining, cryptojacking, banking and crypto malware and phishing websites, apps and hackers command-and-control (C2) servers.
-
Updated
May 31, 2024 - Python
Fingerprint Pro Wrapper for React Single Page Applications (SPA)
-
Updated
May 31, 2024 - TypeScript
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
-
Updated
May 31, 2024 - PHP
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
-
Updated
May 31, 2024 - Python
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.
-
Updated
May 31, 2024 - TypeScript
Protect your SIP Servers from bad actors at https://sentrypeer.org
-
Updated
May 30, 2024 - C
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
-
Updated
May 30, 2024 - Elixir
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
-
Updated
May 30, 2024 - Python
Repository for my graduation work (in progress).
-
Updated
May 29, 2024 - TeX
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
-
Updated
May 29, 2024
Distributed Networks Institute
-
Updated
May 31, 2024 - Python
Node bindings for Castle
-
Updated
May 28, 2024 - TypeScript
Marble - the real time decision engine for fraud and AML
-
Updated
May 27, 2024 - HCL
Data science projects at Aboitiz
-
Updated
May 25, 2024 - Jupyter Notebook
An iOS application that showcases the capabilities of Fingerprint Identification SDK.
-
Updated
May 24, 2024 - Swift
A Flutter plugin for the native FingerprintJS Pro libraries
-
Updated
May 23, 2024 - Dart
StalkPhish-OSS - The Phishing kits stalker, harvesting phishing kits for investigations.
-
Updated
May 22, 2024 - Python
This project aims to develop a machine learning model for proactive fraud detection in financial transactions.
-
Updated
May 22, 2024 - Jupyter Notebook
A machine learning project for detecting fraudulent transactions in fintech banking systems. Includes data preprocessing, feature engineering, and model evaluation.
-
Updated
May 22, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the fraud-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the fraud-detection topic, visit your repo's landing page and select "manage topics."