Granef
A network forensics toolkit that transforms network traffic data into graph-based representations for interactive analysis and visualization through a web interface.
Granef
A network forensics toolkit that transforms network traffic data into graph-based representations for interactive analysis and visualization through a web interface.
Granef Description
Granef is a toolkit for network forensics that implements graph-based analysis of network traffic data. The toolkit processes network traffic captures and stores them in a Dgraph database for analysis through a web interface. Key components include: - Docker container modules for data processing - Transformation of Zeek logs from PCAP files into RDF triples - Support for MISP threat sharing data and NetFlow traffic analysis - Interactive web interface for exploratory data analysis - Database schema based on Zeek log format - Predefined queries and visualizations for network traffic analysis The system architecture consists of: - Extraction modules for processing input data - Transformation modules for data conversion - Data handling module with graph database - API module for querying - Web interface for analysis and visualization
Granef FAQ
Common questions about Granef including features, pricing, alternatives, and user reviews.
Granef is A network forensics toolkit that transforms network traffic data into graph-based representations for interactive analysis and visualization through a web interface.. It is a Security Operations solution designed to help security teams with Visualization, Graph, Zeek.
ALTERNATIVES
AI-powered data lake for structured/unstructured data discovery & analysis.
AfterGlow Cloud is a Django-based web application that allows users to upload data and generate graph visualizations through a browser interface.
ZAT is a Python package that processes and analyzes Zeek network security data using machine learning libraries like Pandas, scikit-learn, Kafka, and Spark.
POPULAR
TRENDING CATEGORIES
Stay Updated with Mandos Brief
Get strategic cybersecurity insights in your inbox