A network data packet capture (PCAP)file contains network data that can be used to analyze the network structure, operating systems, and other characteristics, such as network traffic and data packets. An automated approach is needed to extract and categorize PCAP data using artificial intelligence and machine learning assistance to perform rapid data detection, collection, classification, identification/system association, source localization for use in military operations prediction. A data science approach to PCAP data processing needs to be developed, including selection of tools to help address this problem.
The directory structure in this GitHub is to allow the project to have all its resources self-contained. Open Source software should not just be a repository of code. There are a number of directories to help you and others who will follow in your footsteps. It'll also allow the Linux Foundation OMP Mentorship program to keep track of your project and get a better understanding of the problems you encountered during the development of this project.
| Folder | Description |
|---|---|
| Documentation | all documentation the project team has created to describe the architecture, design, installation, and configuration of the project |
| Notes and Research | Relevant helpful information to understand the tools and techniques used in the project |
| Project Deliverables | Folder that contains final pdf versions of all Fall and Spring Major Deliverables |
| Status Reports | Project management documentation - weekly reports, milestones, etc. |
| src | Source code - create as many subdirectories as needed |
Note: Commits behind this fork could be automatically synced, meaning that changes made in the template are pushed into your repo. Please do not discard commits ahead (these are the updates you make to this repository).
- Joao Filipe Da Silva Soares - VCU Engineering - Mentor
- Nibir Dhar - VCU Engineering - Technical Advisor
- Irfan Ahmed - VCU Engineering - Faculty Advisor
- Christopher Castro - Computer Science - Student Team Member
- Ryan Collette - Computer Science - Student Team Member
- William Lagos - Computer Science - Student Team Member
- Sam Soltanian - Computer Science - Student Team Member