Understanding intrusion detection through visualization

• Published in: Kluwer Academic Publishers eBooks Vol. 24
• Main Authors: Axelsson, Stefan, Sands, David
• Format: eBook Book
• Language: English
• Published: New York Springer 2006; Springer US
• Edition: 1
• Series: Advances in Information Security
• Subjects: Computer Communication Networks; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer networks; Computer networks > Security measures; Computer Science; Computer security; Cryptology; Data Structures and Information Theory; Information visualization; Pattern Recognition; Security measures
• ISBN: 9780387276342; 0387276343
• ISSN: 1568-2633
• DOI: 10.1007/0-387-27636-X

Table of contentsForeword by Dr. John McHugh, Canada Research Chair, Director, Privacy and Security Laboratory, Dalhousie University Halifax, N.S. Canada.- Preface.- Introduction.- An Introduction to Intrusion Detection.- The Base-Rate Fallacy and the Difficulty of Intrusion Detection.- Visualising Intrusions: Watching the Webserver.- Combining a Bayesian Classifier with Visualisation.- Visualising the Inner Workings of a Self Learning Classifier.- Visualisation for Intrusion Detection: Hooking the Worm.- References.- Author Index.- Index.