Abstract
The importance of the Internet and our dependency on computer networks are steadily growing, which results in high costs and substantial consequences in case of successful intrusions, stolen data, and interrupted services. At the same time, a trend towards massive attacks against the network infrastructure is noticeable. Therefore, monitoring large networks has become an important field in practice and research. Through monitoring systems, attacks can be detected and analyzed to gain knowledge of how to better protect the network in the future. In the scope of this paper, we present a system to analyze NetFlow data using a relational database system. NetFlow records are linked with alerts from an intrusion detection system to enable efficient exploration of suspicious activity within the monitored network. Within the system, the monitored network is mapped to a TreeMap visualization, the attackers are arranged at the borders and linked using splines parameterized with prefix information. In a series of case studies, we demonstrate how the tool can be used to judge the relevance of alerts, to reveal massive distributed attacks, and to analyze service usage within a network.
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References
McPherson, D., Labovitz, C., Hollyman, M.: Worldwide infrastructure security report, volume III. Technical report, Arbor Networks (September 2007)
NfSen - Netflow Sensor: A graphical web based front end for the nfdump netflow tools (2007), http://nfsen.sourceforge.net/
Oslebo, A.: Stager A Web Based Application for Presenting Network Statistics. In: Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP, pp. 1–15 (2006)
Lakkaraju, K., Bearavolu, R., Slagell, A., Yurcik, W., North, S.: Closing-the-Loop in NVisionIP: Integrating Discovery and Search in Security Visualizations. In: IEEE Workshops on Visualization for Computer Security, 26 October 2005, p. 9 (2005)
Goodall, J.R., Lutters, W.G., Rheingans, P., Komlodi, A.: Preserving the Big Picture: Visual Network Traffic Analysis with TNV. In: VIZSEC 2005: Proceedings of the IEEE Workshops on Visualization for Computer Security, Washington, DC, USA. IEEE Computer Society, Los Alamitos (2005)
Ball, R., Fink, G., North, C.: Home-centric visualization of network traffic for security administration. In: Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security, pp. 55–64 (2004)
Shneiderman, B.: Tree visualization with tree-maps: 2-d space-filling approach. ACM Trans. Graph. 11(1), 92–99 (1992)
Mansmann, F., Keim, D.A., North, S.C., Rexroad, B., Sheleheda, D.: Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Transactions on Visualization and Computer Graphics 13(6), 1105–1112 (2007)
Holten, D.: Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data. IEEE Trans. Vis. Comput. Graph. 12(5), 741–748 (2006)
Mansmann, F., Fischer, F., Keim, D., North, S.: Visualizing large-scale IP traffic flows. In: Proceedings of 12th International Workshop Vision, Modeling, and Visualization (2007)
Kaufman, L., Rousseeuw, P.: Finding groups in data. An introduction to cluster analysis. In: Applied Probability and Statistics. Wiley Series in Probability and Mathematical Statistics. Wiley, New York (1990)
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Fischer, F., Mansmann, F., Keim, D.A., Pietzko, S., Waldvogel, M. (2008). Large-Scale Network Monitoring for Visual Analysis of Attacks. In: Goodall, J.R., Conti, G., Ma, KL. (eds) Visualization for Computer Security. VizSec 2008. Lecture Notes in Computer Science, vol 5210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85933-8_11
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DOI: https://doi.org/10.1007/978-3-540-85933-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85931-4
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