Titlebook: Understanding Intrusion Detection through Visualization; Stefan Axelsson,David Sands Book 2006 Springer-Verlag US 2006 Protection.Webserve

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physicalconditions are presented. The book is suitable for graduate students in applied physics, and provides a valuable reference for researchers working actively in the field of solar energy..978-981-16-3494-9978-981-16-3492-5Series ISSN 0303-4216 Series E-ISSN 1437-0859

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1568-2633 ," is particularly telling. As is the case with any good piece of research, we hope to gain an understanding of a problem, not just a recipe or simple solution of immediate, but limited utility. For much of its978-1-4419-3906-7978-0-387-27636-6Series ISSN 1568-2633 Series E-ISSN 2512-2193

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The Base-Rate Fallacy and the Difficulty of Intrusion Detection, case of signature-based detection methods the picture was less clear. Even though the cited work seems to indicate that current signature intrusion detectors can operate close to the required performance point, how well these results generalize in the field was and is still an open question. We onl

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Combining a Bayesian Classifier with Visualization: Understanding the IDS,

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Visualizing the Inner Workings of a Self Learning Classifier: Improving the Usability of Intrusion ector to detect novel intrusions (i.e. variants of previously seen attempts) and the visualization proved helpful in letting the user differentiate between true and false alarms. The interactive feedback also made it possible for the user to retrain the detector until it performed as wanted.