Understanding Intrusion Detection through Visualization

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 ongoi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Axelsson, Stefan (Autor), Sands, David (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Advances in Information Security, 24
Temas:
Cryptography.
Data encryption (Computer science).
Image processing-Digital techniques.
Computer vision.
Pattern recognition systems.
Data structures (Computer science).
Information theory.
Computer networks .
Cryptology.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Automated Pattern Recognition.
Data Structures and Information Theory.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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