Understanding Intrusion Detection Through Visualization

• Main Authors: Axelsson, Stefan (Author), Sands, David (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Series: Advances in Information Security, 24
• Subjects: Computer science.; Computer communication systems.; Data structures (Computer science).; Data encryption (Computer science).; Computer graphics.; Pattern recognition.; Computer Science.; Data Encryption.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Pattern Recognition.; Data Structures, Cryptology and Information Theory.; Computer Communication Networks.

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...

Table of Contents:

• 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.