Conference Proceedings

Digging into IP flow records with a visual kernel method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 6694 LNCS 41-49
DOI: 10.1007/978-3-642-21323-6_6
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Abstract

This paper presents a network monitoring framework with an intuitive visualization engine. The framework leverages a kernel method with spatial and temporal aggregated IP flows for the off/online processing of Netflow records and full packet captures from ISP and honeypot input data and is operating on aggregated Netflow records and is supporting network management activities related to the anomaly and attack detection. © 2011 Springer-Verlag.

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Wagner, C., Wagener, G., State, R., & Engel, T. (2011). Digging into IP flow records with a visual kernel method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6694 LNCS, pp. 41–49). https://doi.org/10.1007/978-3-642-21323-6_6

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