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Monitoring Internet traffic is critical in order to acquire a good understanding of threats and in designing efficient security systems. It is the most important issue to monitor the traffic in internet and also in designing efficient security systems. Honeypot is one of the security tools for gathering intelligence of Internet attacks, traffic collected by honeypot is of high dimensionality that makes it difficult to characterize. In this paper, a multivariate analysis technique, for characterizing honeypot traffic and separating latent groups of activities is used. A multivariate analysis consists of collection of methods that can be used for detecting unauthorized malware over the internet. Data visualization, Data mining and statistical techniques are the multivariate analysis techniques for characterizing Honeypot.
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