There are 10 repositories under dga-detection topic.
DGA Domain Detection using Bigram Frequency Analysis
DGA-generated domain detection using deep learning models
Deep Learning for Domain Name System
Detection of malicious domain names using machine learning and deep learning models
Phishing attack identification tool - Performs email risk evaluations relying on different black lists, machine learning techniques, and OSINT third party services, without depending on user knowledge or awareness
Domain Generation Algorithms research papers, datasets and code
Identify synthetic domain names using Random Forrest Classifier
Domain Generation Algorithm official repository. Please visit the WIKI page for more information
:mag: Application for detecting command and control (C2) communication through network traffic analysis.
Domain Generation Algorithms (DGAs) using traitional machine learning and deep learning
Maching learning workshop at CDAC, Technopark, Thiruvananthapuram
System for evaluating risks of internet domains
A simple yet accurate machine learning model to detect the DGA (Domain Generational Algorithm).
Application of machine learning for cyber security
Application of deep learning for cyber security
Check if a domain has been created using a Domain Generation Algorithm. Usefull to discover malware and trackers.
Machine Learning Algrithms in python 、DGA detection
Generate csv file containing every domain registered on specified date/date range
基于 LSTM 的 DGA(Domain Generation Algorithms)域名分类,TensorFlow + PyTorch 版本
Software de análise de visualização de dados para manutenção de subestação elétrica
Final Project on how to detect domains that were generated using "Domain Generation Algorithm" (DGA). The idea is to tell DGA-generated and non-DGA-generated domains apart using a combination of linguistic features by transforming raw domain strings to ML features.
Detect domains generated by Domain Generation Algorithms (DGA)
Reference models and benchmarks for DGA generation and detection
Step-by-step guide on how to detect domains that were generated using "Domain Generation Algorithm" (DGA). This is based on Sidi Trainings (November 18th, 2020) presented by GTK Cyber.