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Visualization of Misuse-Based Intrusion Detection: Application to Honeynet Data
Advances in Intelligent and Soft Computing
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 internaldoi:10.1007/978-3-642-19644-7_59 dblp:conf/softcomp/ZurutuzaEHC11 fatcat:7fvqyriy6nhi3i3zvins76byri