Security Analytics & Visualization Interface for Research Labs

Description

MISTRAL is a National Science Foundation (NSF) funded project for capturing and analyzing network data for research lab environments. A team of students will work with the MISTRAL team and stakeholders, as well as members of the Duke University IT Security Office (ITSO) to develop a platform for the querying and distribution of security logs and research data. The team will develop novel techniques for analyzing network traffic data from research environments, tag this data, and present the data in an easily consumable format for researchers and security teams. In addition, the Code+ team will collaborate with a Data+ team to present security indicators and provide methods for dynamic consumption and analysis of the MISTRAL security data. The team will explore concepts such as building user interfaces and APIs, Python development, and data analysis techniques.

Watch the team's final presentation on YouTube.

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Team

Members

• Emily Barragan
• Joanne Chae
• Kevin Lee
• Roudy Mohamed
• Sophie Mansoor

Leaders

• Alex Merck
• Eric Hope

Project Facilitators

• Jaelyn Cuellar
• Mariam Gvenetadze

Sponsors

Cisco

National Science Foundation grant 2232819 (CICI: RSSD:Massive Internal System Traffic Research Analysis and Logging)