An Online Platform for Collaborative Network Monitoring
Format
SOECS Senior Project Demonstration
Faculty Mentor Name
Jinzhu Gao
Faculty Mentor Department
School of Engineering and Computer Science
Abstract/Artist Statement
This project addresses the problem of collaborative analysis in a distributed setting via a network security application. Network security analysis often requires accurate and timely results, which is very challenging to achieve in large dynamic networks with a single user. To address this issue by establish a set of collaboration guidelines for team coordination with distributed visualization tools. These collaboration guidelines cover the designs of coordination roles, workflow and collaborative environments. They are designed or selected based on related work from social science, teamwork theory, coordination theory, and visualization design. Then, apply them to generate a prototype system that facilitates collaborative visual analysis. According to the expert feedback acquired for assessing this approach, the propose directions for improving the efficiency of collaborative analysis. In this project, I developed a collaboration platform for network data analysis and visualization with the goal to support robust and efficient network detection and monitoring for complex attack scenarios.
Location
School of Engineering & Computer Science
Start Date
30-4-2011 2:00 PM
End Date
30-4-2011 3:30 PM
An Online Platform for Collaborative Network Monitoring
School of Engineering & Computer Science
This project addresses the problem of collaborative analysis in a distributed setting via a network security application. Network security analysis often requires accurate and timely results, which is very challenging to achieve in large dynamic networks with a single user. To address this issue by establish a set of collaboration guidelines for team coordination with distributed visualization tools. These collaboration guidelines cover the designs of coordination roles, workflow and collaborative environments. They are designed or selected based on related work from social science, teamwork theory, coordination theory, and visualization design. Then, apply them to generate a prototype system that facilitates collaborative visual analysis. According to the expert feedback acquired for assessing this approach, the propose directions for improving the efficiency of collaborative analysis. In this project, I developed a collaboration platform for network data analysis and visualization with the goal to support robust and efficient network detection and monitoring for complex attack scenarios.