Multidimensional Database Technology
Computer
Multiscale Visualization Using Data Cubes
IEEE Transactions on Visualization and Computer Graphics
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
The Spinning Cube of Potential Doom
Communications of the ACM - Wireless sensor networks
Detecting Flaws and Intruders with Visual Data Analysis
IEEE Computer Graphics and Applications
PortVis: a tool for port-based detection of security events
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
RecMap: Rectangular Map Approximations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
HistoScale: An Efficient Approach for Computing Pseudo-Cartograms
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Root Polar Layout of Internet Address Data for Security Administration
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
IDS RainStorm: Visualizing IDS Alarms
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
A Visualization Methodology for Characterization of Network Scans
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
Mail explorer - spatial and temporal exploration of electronic mail
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Algebraic visual analysis: the Catalano phone call data set case study
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Visualization of Node Interaction Dynamics in Network Traces
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
3D approach to the visualization of parallel applications and Grid monitoring information
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2
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Network communication has become indispensable in business, education, and government. With the pervasive role of the Internet as a means of sharing information across networks, its misuse for destructive purposes, such as spreading malicious code, compromising remote hosts, or damaging data through unauthorized access, has grown immensely in the recent years. The classical way of monitoring the operation of large network systems is by analyzing the system logs for detecting anomalies. In this work, we introduce Hierarchical Network Map, an interactive visualization technique for gaining a deeper insight into network flow behavior by means of user-driven visual exploration. Our approach is meant as an enhancement to conventional analysis methods based on statistics or machine learning. We use multidimensional modeling combined with position and display awareness to view source and target data of the hosts in a hierarchical fashion with the ability to interactively change the level of aggregation or apply filtering. The interdisciplinary approach integrating data warehouse technology, information visualization, and decision support, brings about the benefit of efficiently collecting the input data and aggregating over very large data sets, visualizing the results, and providing interactivity to facilitate analytical reasoning.