Understanding Intrusion Detection Through Visualization
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ISBN-13:
9780387276342
Veröffentl:
2005
Erscheinungsdatum:
21.11.2005
Seiten:
145
Autor:
Stefan Axelsson
Gewicht:
407 g
Format:
243x167x15 mm
Sprache:
Englisch
Beschreibung:
With the ever increasing use of computers for critical systems, computer security that protects data and computer systems from intentional, malicious intervention, continues to attract significant attention. Among the methods for defense, the application of a tool to help the operator identify ongoing or already perpetrated attacks (intrusion detection), has been the subject of considerable research in the past ten years. A key problem with current intrusion detection systems is the high number of false alarms they produce.
Introduces the innovative idea of applying information visualization techniques to the intrusion detection problem by combining a simple anomaly-based log reduction scheme
An Introduction to Intrusion Detection.- The Base-Rate Fallacy and the Difficulty of Intrusion Detection.- Visualizing Intrusions: Watching the Webserver.- Combining a Bayesian Classifier with Visualization: Understanding the IDS.- Visualizing the Inner Workings of a Self Learning Classifier: Improving the Usability of Intrusion Detection Systems.- Visualization for Intrusion Detection-Hooking the Worm.- Epilogue.
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