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Abdallah Ghourabi, Tarek Abbes and Adel Bouhoula Characterization of attacks collected from the deployment of Web service honeypot Security and Communication Networks 7

Version of Record online: 26 FEB 2013 | DOI: 10.1002/sec.737

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In this paper, we propose an automatic technique to analyze the data collected from our Web service Honeypot. The proposed approach is based on four machine learning methods: support vector machines, support vector regression, spectral clustering, and k-means clustering. Our main objectives are to analyze the collected data, automatically characterizing the captured attacks and detecting the denial-of-service and novel attacks.

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