An iOS application that showcases the capabilities of Fingerprint Identification SDK.
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Updated
May 24, 2024 - Swift
An iOS application that showcases the capabilities of Fingerprint Identification SDK.
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
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.
A Flutter plugin for the native FingerprintJS Pro libraries
StalkPhish-OSS - The Phishing kits stalker, harvesting phishing kits for investigations.
A machine learning project for detecting fraudulent transactions in fintech banking systems. Includes data preprocessing, feature engineering, and model evaluation.
Sift (fraud detection) integration with Magento 2
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Marble - the real time decision engine for fraud and AML
🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯
Distributed Networks Institute
Fingerprint Pro Plugin for Vue
This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.
Protect your SIP Servers from bad actors at https://sentrypeer.org
Official React Native client for Fingerprint PRO. 100% accurate device identification for fraud detection.
En este proyecto se desarrolló un modelo de Machine Learning para la Detección de Transacciones Fraudulentas, se trabajó desde la extracción, procesamiento y exploración de los datos
Projects for Neural Networks course, Shahid Beheshti University, Fall 2020
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
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