This study presents a novel soft computing system that provides network managers with a synthetic and intuitive representation of the situation of the monitored network, in order to reduce the widely known high false-positive rate associated to misuse-based Intrusion Detection Systems (IDSs). The proposed system is based on the use of different projection methods for the visual inspection of honeypot data, and may be seen as a complementary network security tool that sheds light on internal

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... structures through visual inspection. Furthermore, it is intended to understand the performance of Snort (a well-known misuse-based IDS) through the visualization of attack patterns. Empirical verification and comparison of the proposed projection methods are performed in a real domain where real-life data are defined and analyzed.