benfordslaw
benfordslaw is about the frequency distribution of leading digits.
https://github.com/yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
fraud-detection-transaction-data
Pipeline for analyzing fraud in card transaction data-sets with an addition of graph features, modeled using Random Forest
neural-joint-activity-in-snns
Source code of the paper entitled "Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection", and presented at CIARP 2024, the 27th Iberamerican Congress on Pattern Recognition.
appendix_potential_covid-19_test_fraud_detection
The methods and results of the publication "Potential COVID-19 test fraud detection: Findings from a pilot study comparing conventional and statistical approaches" are described in more detail in this appendix. The R-syntax for the calculation is provided, as well as a pseudo data set with which the syntax can also be tested.
misp
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
bayesian-optimization-1d-csnn
Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Conference on Artificial Intelligence.
https://github.com/dadananjesha/credit-card-fraud-detection
Credit Card Fraud Detection is a state-of-the-art real-time streaming analytics solution designed to detect fraudulent credit card transactions instantly.
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl
An end-to-end blueprint architecture 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.