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Search results for fraud detection
fraud-detection
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139 search results found
Fingerprintjs
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20,937
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.
Pyod
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7,751
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Anomaly Detection Resources
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7,616
Anomaly detection related books, papers, videos, and toolboxes
Misp
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4,835
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
Awesome Fraud Detection Papers
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1,364
A curated list of data mining papers about fraud detection.
Graph Fraud Detection Papers
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1,148
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Pygod
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1,138
A Python Library for Graph Outlier Detection (Anomaly Detection)
Midas
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750
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Threatingestor
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730
Extract and aggregate threat intelligence.
Astronomer
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667
A tool to detect illegitimate stars from bot accounts on GitHub projects
Magento Malware Scanner
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661
Scanner, signatures and the largest collection of Magento malware
Stalkphish
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581
StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.
Dgfraud
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432
A Deep Graph-based Toolbox for Fraud Detection
Cgrates
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404
Real-time Charging System for Telecom & ISP environments
Fraud Detection Handbook
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352
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Getipintel
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279
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.
Free Rasp Community
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222
SDK providing app protection and threat monitoring for mobile devices, available for Flutter, Cordova, Android and iOS.
Awesome Deep Graph Anomaly Detection
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215
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.
Cryptowallet_risk_scoring
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214
A free cryptowallet risk scoring tool with fully explainable scoring.
Trustdevice Ios
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206
Leading open source version of iOS device fingerprint, accurate deviceID and risk identification.
Pysad
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200
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Realtime Fraud Detection With Gnn On Dgl
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191
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.
Talkingdata Adtracking Fraud Detection
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183
My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-f
Broprint.js
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183
The world's easiest, smallest and powerful visitor identifier for browsers.
Phishingkithunter
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157
Find phishing kits which use your brand/organization's files and image.
Tabformer
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144
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Fraud Detection Papers
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144
A collection of research and survey papers of fraud detection mainly in advertising.
Sentrypeer
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142
Protect your SIP Servers from bad actors at https://sentrypeer.org
Care Gnn
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127
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Benford_py
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126
Python implementation of Benford's Law tests.
Amlsim
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124
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.
Emailrep.io
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117
emailrep.io Public API
Ml_riskmanagement
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116
Short Course - Applied Machine Learning for Risk Management
Fraud Detection Using Machine Learning
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98
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Ugfraud
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86
An Unsupervised Graph-based Toolbox for Fraud Detection
Memstream
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77
MemStream: Memory-Based Streaming Anomaly Detection
Threatbite
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76
ThreatBite is a real-time service that detects unwanted web users.
Deepai
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74
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.
Nash Detect
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74
Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning
Fraud Detection
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71
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Frauddetection
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64
Accounting Fraud Detection Using Machine Learning
Dgfraud Tf2
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57
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Fraud_detection_techniques
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53
Holoscope
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48
HoloScope: Topology-and-Spike Aware Fraud Detection
Bert4eth
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45
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
Fraud Analysis
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45
Insurance fraud claims analysis project
Fraud Detection Papers
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45
Learning Fraud Detection from research papers and industry applications.
Sagemaker Graph Fraud Detection
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42
Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks
Demo Fraud Detection With P2p
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42
Exploring Neo4j and Graph Data Science for Fraud Detection
Xgboost Smote Detect Fraud
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41
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!
Fingerprintjs Pro React
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40
Fingerprint Pro Wrapper for React Single Page Applications (SPA)
Benfordslaw
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38
benfordslaw is about the frequency distribution of leading digits.
Fraud Detection
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38
Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset is publicly available here: https://clouda-datasets.s3.amazonaws.com/creditcar
Fingerprintjs Pro React Native
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36
Official React Native client for Fingerprint PRO. 100% accurate device identification for fraud detection.
Fraudbusters
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36
RBKmoney Antifraud Service
Fingerprintjs Pro Ios
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34
Fingerprint Identification SDK for accurate iOS device identification.
Idverification
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33
"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.
Castle Ruby
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33
Ruby gem for Castle
Marble
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32
Marble - the real time decision engine for fraud and AML
Fraud_detection
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30
Tuning XGBoost hyper-parameters with Simulated Annealing
Dealing With Imbalanced Data
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29
Using Imblearn To Tackle Imbalanced Data Sets
Predict Fraud Using Auto Ai
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28
Use AutoAI to detect fraud
Fingerprintjs Pro Flutter
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28
A Flutter plugin for the native FingerprintJS Pro libraries
Ocan
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27
Blockchain Ml
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25
Combining Blockchain and Machine Learning for Fraud Detection.
Deepad
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25
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.
Jube
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23
Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.
Fraud Detection
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23
Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom
Fraud Detection In Online Transactions
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23
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Spartan2 Tutorials
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22
Graph Explorer
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21
Graph Explorer
Pump And Dump Detection On Cryptocurrency
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20
Sequence-based Target Coin Prediction for Cryptocurrency Pump-and-Dump (SIGMOD 23)
Rest_api_for_fraud Detection
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18
A logistic regression model that detects the fraud in online transactions that can be accesed with a REST API
Fraudlabspro Php
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16
FraudLabs Pro PHP SDK to screen the order transaction for payment fraud.
Enronfraud
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16
Fraud Detection by finding the Person of Interest (POI)
Gcnn
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16
The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning
Petgen
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16
A PyTorch implementation of the ACM SIGKDD 2021 paper titled "PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models"
Nodejs Api Client
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15
A NodeJS client for BigDataCloud API connectivity
Dn Institute
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15
Distributed Networks Institute
Cdr_analysis_using_k_means_with_r
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14
Call Detail Record (CDR) is the information captured by the telecom companies during the Call, SMS and Internet activity. These information’s provides insights about the customer needs when it is used with customer demographics. Most of the telecom companies using call detail record information in the fraud detection by clustering the user profiles, Customer churn by usage activity and targeting the profitable customers by using RFM analysis.
Badcaller
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14
A Raspberry Pi-enabled caller ID system which checks incoming landline calls against databases of known malicious callers, and displays a danger rating of the incomming caller on a web interface.
Fingerprint Pro Server Api Php Sdk
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14
PHP SDK for Fingerprint Pro Server API
Fraud Detection
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13
Keystroke Dynamics
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13
Demo to show keystroke dynamics / keystroke biometrics
Fingerprintjs Pro Server Api Node Sdk
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13
Node.js wrapper for FingerprintJS Server API
Mlsys Nyu 2022
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12
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Feature Engineering For Fraud Detection
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12
Implementation of feature engineering from Feature engineering strategies for credit card fraud
Workshop Unsupervised Fraud
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12
Material for the AMLD2020 workshop on unsupervised fraud detection
Suspicidy
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12
Suspicidy aims to detect suspicious web requests
Customer360
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11
Customer 360 analytics powered by MapR
Fraud_nlp
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11
Talkingdata
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11
TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition
Frauddetection
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11
Examples and Tutorials related to fraud detection with machine learning and deep learning
Bws Gui
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10
BWS HTML5 Unified User Interface
Python Api Client
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10
A Pythonclient for BigDataCloud API connectivity
Sentrypeerhq
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10
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
Projects
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10
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Dcic2023 Fraud Risk Identification
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9
本赛题旨在运用有效的金融科技和大数据系统,分析涉赌涉诈资金交易新方式,持续优化风险监测模型,通过赛题
Fraud Detection Datagen
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9
Fraud detection data generation with community structure, ready for NebulaGraph.
Castle Node
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9
Node bindings for Castle
1-100 of 139 search results
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