Displaying 1 to 6 from 6 results

AnomalyDetection - Anomaly Detection with R

  •    R

AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. The AnomalyDetection package can be used in wide variety of contexts. For example, detecting anomalies in system metrics after a new software release, user engagement post an A/B test, or for problems in econometrics, financial engineering, political and social sciences.

MISP - MISP (core software) - Open Source Threat Intelligence Platform (formely known as Malware Information Sharing Platform)

  •    PHP

MISP, is an open source software solution for collecting, storing, distributing and sharing cyber security indicators and threat about cyber security incidents analysis and malware analysis. MISP is designed by and for incident analysts, security and ICT professionals or malware reverser to support their day-to-day operations to share structured informations efficiently. The objective of MISP is to foster the sharing of structured information within the security community and abroad. MISP provides functionalities to support the exchange of information but also the consumption of the information by Network Intrusion Detection System (NIDS), LIDS but also log analysis tools, SIEMs.

magento-malware-scanner - Scanner, signatures and the largest collection of Magento malware

  •    HTML

Magento is a profitable target for hackers. Since 2015, I have identified more than 40.000 compromised stores. In most cases, malware is inserted that will a) intercept customer data, b) divert payments or c) uses your customers for cryptojacking. This project contains both a fast scanner to quickly find malware, and a collection of Magento malware signatures. They are recommended by Magento and used by the US Department of Homeland Security, the Magento Marketplace, Magereport, the Mage Security Council and many others.

Pyod - A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

  •    Python

Important Notes: PyOD contains some neural network based models, e.g., AutoEncoders, which are implemented in keras. However, PyOD would NOT install keras and tensorflow automatically. This would reduce the risk of damaging your local installations. You are responsible for installing keras and tensorflow if you want to use neural net based models. An instruction is provided here. Anomaly detection resources, e.g., courses, books, papers and videos.




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

  •    Go

Astronomer is a tool that fetches data from every GitHub user who starred a common repository and computes how likely it is that those users are real humans. The goal of Astronomer is to detect illegitimate GitHub stars from bot accounts, which could be used to artificially increase the popularity of an open source project. It comes together with Astrolab, a server which collects trust reports generated by Astronomer, and generates GitHub badges to let you prove your community's authenticity.

AMLSim - This project is intended to provide a multi-agent-based simulator to simulate a set of suspicious activities that relate to money laundering

  •    Python

Important: Please use the "master" branch for the practical use and testing. Other branches such as "new-schema" are outdated and unstable. Wiki pages are still under construction and some of them do not catch up with the latest implementations. Please refer this README.md instead. This project aims at building a multi-agent simulator of anti-money laundering - namely AML, and sharing synthetically generated data so that researchers can design and implement their new algorithms over the unified data.