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fraud-detection

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zbyshak
zbyshak commented Nov 9, 2020

Problem in MISP/app/Lib/Export/NidsExport.php /
causes there are two rows in beggening of all rules regarding email. Bug is in row 161

case 'email':
$this->emailSrcRule($ruleFormat, $item['Attribute'], $sid);
$this->emailDstRule($ruleFormat, $item['Attribute'], $sid);
break;
this causes inserting both source and destinati

T: enhancement good first issue
awesome-fraud-detection-papers

IP Intelligence is a free Proxy VPN TOR and Bad IP detection tool to prevent Fraud, stolen content, and malicious users. Block proxies, VPN connections, web host IPs, TOR IPs, and compromised systems with a simple API. GeoIP lookup available.

  • Updated Dec 19, 2021
  • PHP

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.

  • Updated Aug 7, 2019
  • Jupyter Notebook

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

  • Updated Feb 15, 2022
  • Python

An end-to-end solution for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

  • Updated Mar 22, 2022
  • TypeScript

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