Abstract
This chapter describes a specific instance of a Semantic Room that makes use of the well-known centralized complex event processing engine Esper in order to effectively detect inter-domain malicious port scan activities. The Esper engine is deployed by the SR administrator and correlates a massive amount of network traffic data exhibiting the evidence of distributed port scans. The chapter presents two inter-domain SYN scan detection algorithms that have been designed and implemented in Esper and then deployed within the Semantic Room. The two algorithms are the Rank-based SYN (R-SYN) port scan detection algorithm and the Line Fitting port scan detection algorithm. The usefulness of the collaboration employed by the Semantic Room programming model in terms of detection accuracy of the inter-domain port scan attacks is shown. In addition, the chapter shows how Line Fitting is able both to achieve a higher detection accuracy with a smaller number of SR members compared to R-SYN, and to exhibit better detection latencies than R-SYN in the presence of low link bandwidths (i.e., less than 3 Mbit/s) connecting the SR members to the Esper engine deployed by the SR administrator.
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Esteves Verssimo, P., Aniello, L., Di Luna, G.A., Lodi, G., Baldoni, R. (2012). Collaborative Inter-domain Stealthy Port Scan Detection Using Esper Complex Event Processing. In: Baldoni, R., Chockler, G. (eds) Collaborative Financial Infrastructure Protection. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20420-3_7
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