Abstract. Spitzner proposed to classify honeypots into low, medium and high interaction ones. Several instances of low interaction exist, such as honeyd, as well as high interaction, such as GenII. Medium interaction systems have recently received increased attention. ScriptGen and RolePlayer, for instance, are as talkative as a high interaction system while limiting the associated risks. In this paper, we do build upon the work we have proposed on ScriptGen to automatically create honeyd scripts able to interact with attack tools without relying on any a-priori knowledge of the protocols involved. The main contributions of this paper are threefold. First, we propose a solution to detect and handle so-called intra-protocol dependencies. Second, we do the same for inter-protocols dependencies. Last but not least, we show how, by modifying our initial refinement analysis, we can, on the fly, generate new scripts as new attacks, i.e. 0-day, show up. As few as 50 samples of attacks, i.e. less than one per platform we have currently deployed in the world, is enough to produce a script that can then automatically enrich all these platforms.

An Intrusion Detection System (IDS) is a crucial element of a network security posture. Although there are many IDS products available, it is rather difficult to find information about their accuracy. Only a few organizations evaluate these products. Furthermore, the data used to test and evaluate these IDS is usually proprietary. Thus, the research community cannot easily evaluate the next generation of IDS. Toward this end, DARPA provided in 1998, 1999 and 2000 an Intrusion Detection Evaluation Data Set. However, no new data set has been released by DARPA since 2000, in part because of the cumbersomeness of the task. In this paper, we propose a strategy to address certain aspects of generating a publicly available documented data set for testing and evaluating intrusion detection systems. We also present a tool that automatically analyzes and evaluates IDS using our proposed data set.

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