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
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…
Integrated Smart Grid Analytics for Anomaly Detection
Applied data analytics to identify anomalies in smart grid systems,…
CRI: II-New: ORION: Observatory for Cyber-Risk Insights and Outages of Networks
Developed a research platform to study Internet outages and cyber…