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In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
The following topics are dealt with: knowledge management, reasoning, neural networks, and evolutionary programming; image processing and pattern recognition; machine learning and data mining; natural language processing and speech recognition; information retrieval; multi-agent systems and ontologies; bioinformatics and medical applications; intelligent tutoring systems; formal languages and automations;...
The intrusion detection system (IDS) has as objective to identify individuals that try to use a system in way not authorized or those that have authorization to use but they abuse of their privileges. The IDS to accomplish its function must, in some way, to guarantee reliability and availability to its own application, so that it gets to give continuity to the services even in case of faults, mainly...
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