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Visually representing network traffic data with supporting interactive visual analysis is essential to advance network traffic data analysis.

Visualization is one of the approaches that has received an emerging interest in analyzing network traffic data. Since massive amounts of network traffic data are generated daily, understanding them by integrating various scientific and data analysis approaches has received substantial attention in network security. The results from the case studies support that the system is well designed to understand network traffic data by identifying abnormal network traffic patterns. Case studies have been performed to determine the effectiveness of the system. The system allows the user to perform a continuous visual analysis by requesting incrementally new subsets of data with updated visual representation. For advancing the capability of analyzing network traffic data, feature extraction is considered along with uncertainty quantification to help the user make precise analyses. To assist the user in better understanding and analyzing the network traffic data, an interactive web-based visualization system is designed using multiple coordinated views, supporting a rich set of user interactions. However, analyzing network traffic data requires tremendous effort because of the complexity of continuously changing network traffic patterns. Network traffic data analysis is important for securing our computing environment and data.