The project goal is to create community infrastructure for collecting and using real world cybersecurity datasets. The datasets produced will support cybersecurity professionals in developing responses to emerging real world threats, help train students, be used in developing machine learning/AI applications, be utilized by researchers, and generally support development of a cybersecurity data corpus useful for multiple stakeholders.
Other Projects
Integrated Smart Grid Analytics for Anomaly Detection
Integrated Smart Grid Analytics for Anomaly Detection The overarching objective…
IMR: MM-1A: Scalable Statistical Methodology for Performance Monitoring, Anomaly Identification and Mapping Network Accessibility from Active Measurements
The goal of this project is to develop new approaches…
Information Marketplace for Policy and Analysis of Cyber-Risk & Trusts
The Information Marketplace for Policy and Analysis of Cyber-risk &…