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👇 Here are 762 public repositories matching this topic...

awslabs / fraud-detection-using-machine-learning

fraud-detection,Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Organization: awslabs

fraud-detection sagemaker aws-sagemaker sagemaker-example machine-learning deep-learning xgboost

awslabs / realtime-fraud-detection-with-gnn-on-dgl

fraud-detection,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.

Organization: awslabs

Home Page: https://awslabs.github.io/realtime-fraud-detection-with-gnn-on-dgl/

aws-cdk gnn dgl fraud-detection aws sagemaker neptune graph-database documentdb appsync

benedekrozemberczki / awesome-fraud-detection-papers

fraud-detection,A curated list of data mining papers about fraud detection.

User: benedekrozemberczki

fraud-detection fraud-prevention fraud-checker fraud-management fraud-explorer classification data-science churn credit-scoring deep-learning

blackdotsh / getipintel

fraud-detection,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.

User: blackdotsh

Home Page: http://getipintel.net

proxy-detection vpn-detection bot-detection anti-fraud anti-proxy anti-vpn detect-proxy detect-vpn vpn-check fraud-detection

checkmarble / marble

fraud-detection,Marble - the real time decision engine for fraud and AML

Organization: checkmarble

Home Page: https://www.checkmarble.com

aml case-management compliance-automation compliance-platform decision-api decision-making detection-rules financial-services fraud-detection money-laundering

faceplugin-ltd / facerecognition-livenessdetection-android

fraud-detection,Face Recognition Face Liveness Detection Android SDK (Face Detection, Face Landmarks, Face Anti Spoofing, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)

Organization: faceplugin-ltd

Home Page: https://faceplugin.com/

age-estimation eye-detection face-landmark-detection face-liveness-detection face-recognition gender-recognition nist-database anti-spoofing ekyc fraud-detection

fingerprintjs / fingerprintjs

fraud-detection,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.

Organization: fingerprintjs

Home Page: https://fingerprint.com/github/

javascript detection identification fingerprint fraud-detection fraud audio-fingerprinting browser fingerprinting browser-fingerprint

fraud-detection-handbook / fraud-detection-handbook

fraud-detection,Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Organization: fraud-detection-handbook

Home Page: https://fraud-detection-handbook.github.io/fraud-detection-handbook/Foreword.html

fraud-detection machine-learning data-science data-mining credit-card credit-card-fraud open-data

git-disl / bert4eth

fraud-detection,BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

Organization: git-disl

bert transformer deanonymization blockchain ethereum fraud-detection www2023 phishing-detection pretrained-language-model

gitihubi / deepad

fraud-detection,Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

User: gitihubi

adversarial-autoencoders anomaly-detection fraud-detection deep-learning pytorch forensic-accounting accounting fraud-prevention

gitihubi / deepai

fraud-detection,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.

User: gitihubi

autoencoder anomaly-detection fraud-detection deep-learning pytorch forensic-accounting accounting fraud-prevention fraud

gwillem / magento-malware-scanner

fraud-detection,Scanner, signatures and the largest collection of Magento malware

User: gwillem

malware scanner magento cryptojacking infosec fraud-detection ecommerce

ibm / amlsim

fraud-detection,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.

Organization: ibm

finance finance-application fraud-detection graph network-science network-visualization

ibm / tabformer

fraud-detection,Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Organization: ibm

Home Page: https://arxiv.org/abs/2011.01843

machine-learning artificial-intelligence credit-card-dataset fraud-detection gpt bert tabular-data prsa-dataset huggingface credit-card-transaction

ibm / xgboost-smote-detect-fraud

fraud-detection,Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Organization: ibm

Home Page: https://developer.ibm.com/patterns/predicting-fraud-using-skewed-data/

datascience machine-learning-algorithms machine-learning sampling-methods data-mining data-visualization analytics skewness skew-correction fraud-detection

inquest / threatingestor

fraud-detection,Extract and aggregate threat intelligence.

Organization: inquest

Home Page: https://inquest.readthedocs.io/projects/threatingestor/

ioc indicators-of-compromise threatintel threat-intelligence osint dfir malware-research security-tools threat-sharing threat-feeds

ipl / fraud-detection-papers

fraud-detection,A collection of research and survey papers of fraud detection mainly in advertising.

User: ipl

fraud-detection advertising research-paper anti-spam anti-fraud

jackied14 / graph-models-in-finance-application

fraud-detection,Paper collection for graph based models in finance application

User: jackied14

finance fraud-detection graph-neural-networks machine-learning paper-list stock-prediction

jacopotagliabue / mlsys-nyu-2022

fraud-detection,Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

User: jacopotagliabue

coursework fraud-detection introduction-to-machine-learning machine-learning mlops recommender-system

januusio / cryptowallet_risk_scoring

fraud-detection,A free cryptowallet risk scoring tool with fully explainable scoring.

Organization: januusio

anti-money-laundering bitcoin cryptocurrency cryptowallet cryptowallet-risk-scores ethereum fraud-detection risk-scores

jarfraud / frauddetection

fraud-detection,Accounting Fraud Detection Using Machine Learning

User: jarfraud

accounting-fraud fraud-detection machine-learning journal-of-accounting-research

juniorcl / transaction-fraud-detection

fraud-detection,A data science project to predict whether a transaction is a fraud or not.

User: juniorcl

fraud-detection data-science fraudulent-transactions machine-learning python data-science-portfolio data-science-projects

juzstu / tiancheng

fraud-detection,甜橙金融初赛Rank1

User: juzstu

competition-code tiancheng fraud-detection

milcent / benford_py

fraud-detection,Python implementation of Benford's Law tests.

User: milcent

accounting auditing benford benford-compliant benfords-law compliance digit financial-analysis fraud-detection matplotlib numpy pandas python python3 research simon-newcomb

miniailive / miniai-facelivenessdetection-androidsdk

fraud-detection,Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your Android platform. Check out our latest repository containing a demonstration of 2D & 3D passive face liveness detection capabilities. Try it out today!

Organization: miniailive

Home Page: https://www.miniai.live/

liveness-detection face-anti-spoofing face-liveness-detection-sdk on-premise 3d-face-reconstruction android-sdk attendence-system authentication biometrics ekyc-verification

misp / misp

fraud-detection,MISP (core software) - Open Source Threat Intelligence and Sharing Platform

Organization: misp

Home Page: https://www.misp-project.org/

misp threat-sharing threat-hunting threatintel malware-analysis stix information-exchange fraud-management security cti

optimatiq / threatbite

fraud-detection,ThreatBite is a real-time service that detects unwanted web users.

User: optimatiq

Home Page: https://optimatiq.com/threatbite/

spam vpn proxys security ip fraud-detection fraud-checker reputation-api reputation blacklist

pygod-team / pygod

fraud-detection,A Python Library for Graph Outlier Detection (Anomaly Detection)

Organization: pygod-team

Home Page: https://pygod.org

outlier-detection anomaly-detection graph-anomaly-detection machine-learning security-tools opensource deeplearning python graphmining pytorch

safe-graph / dgfraud

fraud-detection,A Deep Graph-based Toolbox for Fraud Detection

Organization: safe-graph

fraud-detection fraud-prevention anomaly-detection graph-algorithms graphneuralnetwork machine-learning opensource toolkit datamining datascience

safe-graph / dgfraud-tf2

fraud-detection,A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Organization: safe-graph

security machine-learning opensource graph-algorithms toolkit datascience outlier-detection fraud-detection fraud-prevention datamining security-tools yelp-dataset financial-engineering anomaly-detection dblp-dataset spam-detection graphneuralnetwork

safe-graph / graph-fraud-detection-papers

fraud-detection,A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Organization: safe-graph

fraud-detection security awsome-list papers machine-learning data-science deep-learning graph-algorithms graph-neural-networks graph-convolutional-networks

safe-graph / riognn

fraud-detection,Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Organization: safe-graph

Home Page: http://arxiv.org/abs/2104.07886

graph-neural-networks fraud-detection machine-learning-algorithms graph-algorithms medical-data reinforcement-learning

safe-graph / ugfraud

fraud-detection,An Unsupervised Graph-based Toolbox for Fraud Detection

Organization: safe-graph

fraud-detection outlier-detection fraud-prevention anomaly-detection graph-algorithms machine-learning data-science toolbox opensource security-tools

selimfirat / pysad

fraud-detection,Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

User: selimfirat

anomaly-detection outlier-detection incremental-learning streaming-data anomaly python machine-learning outliers unsupervised-learning real-time

sentrypeer / sentrypeer

fraud-detection,Protect your SIP Servers from bad actors at https://sentrypeer.org

Organization: sentrypeer

Home Page: https://sentrypeer.org

sip voip security-tools honeypot peer-to-peer p2p machine-learning fraud-detection fraud fraud-prevention

stream-ad / memstream

fraud-detection,MemStream: Memory-Based Streaming Anomaly Detection

Organization: stream-ad

streaming real-time anomaly-detection multi-aspect-record intrusion-dectection memory-based concept-drift fraud-detection denial-of-service

stream-ad / midas

fraud-detection,Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

Organization: stream-ad

anomaly-detection fraud-detection denial-of-service intrusion-detection aaai2020

sublime-security / emailrep.io

fraud-detection,emailrep.io Public API

Organization: sublime-security

Home Page: https://emailrep.io

emailrep reputation phishing phishing-detection spam fraud-detection

t4d / phishingkithunter

fraud-detection,Find phishing kits which use your brand/organization's files and image.

User: t4d

phishing-sites threat-hunting fraud-detection fraud-prevention phishing-attacks threat-intelligence security threat-analysis phishing

t4d / stalkphish

fraud-detection,StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.

User: t4d

phishing phishing-sites threat-intelligence threat-hunting threatintel fraud-detection osint investigation phishing-kit scammers

talsec / free-rasp-community

fraud-detection,SDK providing app protection and threat monitoring for mobile devices, available for Flutter, Cordova, Android and iOS.

Organization: talsec

Home Page: https://talsec.app/freerasp-in-app-protection-security-talsec

rasp tampering-detection fraud-detection repackaging-detection cloning reverse-engineering hooking security-tools application-security appsec

trustdecision / trustdevice-ios

fraud-detection,Leading open source version of iOS device fingerprint, accurate deviceID and risk identification.

User: trustdecision

Home Page: https://trustdecision.com/solutions/trustdevice

ios objective-c swift deviceid idfa idfv uuid fingerprint ios-security fraud-detection

ullaakut / astronomer

fraud-detection,A tool to detect illegitimate stars from bot accounts on GitHub projects

User: ullaakut

github bot-detection fraud-detection github-api open-source

xiaoxiaoma-mq / awesome-deep-graph-anomaly-detection

fraud-detection,Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

User: xiaoxiaoma-mq