Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

Some results of my DGA reversing efforts

A collection of known Domain Generation Algorithms

DGA Domain Detection using Bigram Frequency Analysis

DGA Detective - Hunt domains generated by Domain Generation Algorithms to identify malware traffic

DGA-generated domain detection using deep learning models

Deep Learning for Domain Name System

An implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.

Domain Generation Algorithms research papers, datasets and code

Abinitio Dynamical Vertex Approximation

Transformer Fault Type Prediction using DGA data.

This repository contains the specifications for Automated Data Agreement (ADA) Project. The project is part of NGI-eSSIF-Lab that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871932

Domain Generation Algorithm official repository. Please visit the WIKI page for more information

Domain Generation Algorithms (DGAs) using traitional machine learning and deep learning

DGAterms - A vocabulary to describe information flows in the Data Governance Act (DGA)

Use Keras or TFLearn to detetct DGA via LSTM, AMSGrad and NAdam

A simple yet accurate machine learning model to detect the DGA (Domain Generational Algorithm).

This repository hosts specifications for data disclosure agreements as part PS-SDA project in NGI-ONTOCHAIN. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957338.

Domain Generation Algorithm developed with Google Trends

heiDGAF - a machine learning based DNS inspector to detect DGAs in the wild!