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fraud-detection

Here are 385 public repositories matching this topic...

fingerprintjs

fingerprintjs / fingerprintjs

Star

Browser fingerprinting library with the highest accuracy and stability.

javascript browser detection fingerprint identification fingerprinting browser-fingerprint fraud-detection fraud audio-fingerprinting fingerprintjs visitor-identifier

Updated Aug 7, 2021
TypeScript

yzhao062 / pyod

Star

Open

Cannot save AutoEncoder

6

kennysong commented Dec 6, 2020

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S

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bug help wanted good first issue

Open

function generate_data

2

Open

callbacks in autoencoder

4

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MISP / MISP

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Open

duplicate rows in MISP/app/Lib/Export/NidsExport.php /

3

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

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T: enhancement good first issue

Open

Sharing groups become active automagically

2

Open

URLs returning an HTML dump on POST

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awesome-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

Sponsor Star

A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer

Updated Jul 25, 2021
Python

MIDAS

Stream-AD / MIDAS

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

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

Updated Jul 27, 2021
C++

gwillem / magento-malware-scanner

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Scanner, signatures and the largest collection of Magento malware

ecommerce scanner malware magento infosec fraud-detection cryptojacking

Updated Mar 3, 2021
HTML

InQuest / ThreatIngestor

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Extract and aggregate threat intelligence.

ioc osint dfir threat-hunting malware-research misp threat-sharing threatintel yara threat-analysis fraud-detection intelligence-gathering security-tools threat-intelligence soar indicators-of-compromise threat-feeds threat-intelligence-platform

Updated Aug 3, 2021
Python

safe-graph / graph-fraud-detection-papers

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A curated list of fraud detection papers using graph information or graph neural networks

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

Updated Jul 23, 2021

safe-graph / DGFraud

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A Deep Graph-based Toolbox for Fraud Detection

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

Updated May 27, 2021
Python

Ullaakut / astronomer

Sponsor Star

A tool to detect illegitimate stars from bot accounts on GitHub projects

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

Updated Aug 15, 2020
Go

t4d / StalkPhish

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

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

Updated Jun 22, 2021
Python

t4d / PhishingKitHunter

Star

Find phishing kits which use your brand/organization's files and image.

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

Updated Jan 21, 2019
Python

blackdotsh / getIPIntel

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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.

fraud-prevention bot-detection proxy-checker fraud-detection anti-fraud anti-vpn anti-proxy vpn-detection detect-proxy proxy-detection detect-vpn fraud-prevention-services vpn-check detect-bot block-proxy block-vpn identify-proxy identify-vpn

Updated Jan 24, 2021
PHP

IPL / fraud-detection-papers

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

advertising research-paper fraud-detection

Updated Aug 4, 2021

juzstu / TianCheng

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甜橙金融初赛Rank1

fraud-detection tiancheng competition-code

Updated Dec 15, 2018
Python

sublime-security / emailrep.io

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emailrep.io Public API

spam phishing reputation fraud-detection phishing-detection emailrep

Updated May 7, 2021

selimfirat / pysad

Star

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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

Updated Sep 8, 2020
Python

GitiHubi / deepAI

Star

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.

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

Updated Aug 7, 2019
Jupyter Notebook

awslabs / fraud-detection-using-machine-learning

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

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

Updated Jun 9, 2021
Jupyter Notebook

IBM / AMLSim

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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.

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

Updated Feb 15, 2021
Python

milcent / benford_py

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Python implementation of Benford's Law tests.

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

Updated Jun 29, 2021
Jupyter Notebook

IBM / TabFormer

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

machine-learning tabular-data pytorch artificial-intelligence transformer gpt bert fraud-detection icassp huggingface credit-card-dataset prsa-dataset credit-card-transaction icassp2021

Updated Jul 21, 2021
Python

YingtongDou / Nash-Detect

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Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

security machine-learning reinforcement-learning game-theory spam-detection fraud-detection

Updated Nov 17, 2020
Python

threatbite

optimatiq / threatbite

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Open

Resilient HTTP Client

r--w commented Jan 31, 2020

The program downloads a lot of lists from external locations.
We should use resilient HTTP client with backoff and retries to avoid temporary network issues.
Similar to: https://github.com/gojek/heimdall/blob/master/examples/client.go

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enhancement good first issue

Open

Own SSL certificate

safe-graph / UGFraud

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An Unsupervised Graph-based Toolbox for Fraud Detection

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

Updated Apr 11, 2021
Python

yazanobeidi / fraud-detection

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Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

machine-learning scikit-learn card kaggle credit fraud-detection adasyn

Updated Jun 8, 2021
Jupyter Notebook

YingtongDou / CARE-GNN

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Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

security machine-learning reinforcement-learning deep-learning fraud-prevention datamining fraud-detection graphneuralnetwork

Updated Jun 17, 2021
Python

Fraud-Detection-Handbook / fraud-detection-handbook

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Machine Learning for Credit Card Fraud Detection - Practical Handbook

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

Updated May 30, 2021
Jupyter Notebook

GitiHubi / deepAD

Star

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.

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

Updated Aug 28, 2019
Jupyter Notebook

IBM / xgboost-smote-detect-fraud

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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!

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

Updated Sep 3, 2020
Jupyter Notebook

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