Title

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

This document is currently not available here.

Share

COinS
 
Apr 30th, 2:00 PM Apr 30th, 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.