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Honeypots are more and more used to collect data on malicious activities onthe Internet and to better understand the strategies and techniques used byattackers to compromise target systems. Analysis and modeling methodologies areneeded to support the characterization of attack processes based on the datacollected from the honeypots. This paper presents some empirical analyses basedon the data collected from the Leurr{\'e}.com honeypot platforms deployed onthe Internet and presents some preliminary modeling studies aimed at fulfillingsuch objectives.

Empirical analysis and statistical modeling of attack processes based on honeypots