Provenance Graph

Project information

Project Overview:
This project focuses on enhancing cybersecurity response capabilities through the development of a provenance graph generator. Leveraging Elasticsearch, the application constructs visual representations of data relationships and interactions within a system. This tool aims to provide rapid insights into cybersecurity incidents, enabling quicker response times and more effective threat mitigation strategies.

Technical Details:

  • Elasticsearch Integration: Utilizes Elasticsearch to efficiently query and retrieve cybersecurity event data, forming the backbone of the graph generation process.
  • Provenance Graph Visualization: Implements a dynamic web interface for visualizing complex data relationships, aiding in the quick identification of potential security threats.
  • User Interaction: Offers a user-friendly web interface with functionalities such as searching by event ID and toggling the visualization direction for enhanced usability.
  • Real-time Data Processing: Capable of handling live data feeds to update provenance graphs in real-time, ensuring timely analysis of cybersecurity incidents.
  • Customizable Visualization: Allows users to customize the visualization according to their specific needs, including filtering and highlighting specific types of events.