Understanding Intrusion Detection through Visualization: Advances in Information Security, cartea 24
Autor Stefan Axelsson, David Sandsen Limba Engleză Hardback – 21 noi 2005
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Specificații
ISBN-13: 9780387276342
ISBN-10: 0387276343
Pagini: 145
Ilustrații: XX, 145 p. 34 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:2006
Editura: Springer Us
Colecția Springer
Seria Advances in Information Security
Locul publicării:New York, NY, United States
ISBN-10: 0387276343
Pagini: 145
Ilustrații: XX, 145 p. 34 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:2006
Editura: Springer Us
Colecția Springer
Seria Advances in Information Security
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
Understanding Intrusion Detection through Visualization presents research on why false alarms are, and will remain a problem; then applies results from the field of information visualization to the problem of intrusion detection. This approach promises to enable the operator to identify false (and true) alarms, while aiding the operator to identify other operational characteristics of intrusion detection systems. This volume presents four different visualization approaches, mainly applied to data from web server access logs.
Understanding Intrusion Detection through Visualization is structured for security professionals, researchers and practitioners. This book is also suitable for graduate students in computer science.
Understanding Intrusion Detection through Visualization presents research on why false alarms are, and will remain a problem; then applies results from the field of information visualization to the problem of intrusion detection. This approach promises to enable the operator to identify false (and true) alarms, while aiding the operator to identify other operational characteristics of intrusion detection systems. This volume presents four different visualization approaches, mainly applied to data from web server access logs.
Understanding Intrusion Detection through Visualization is structured for security professionals, researchers and practitioners. This book is also suitable for graduate students in computer science.
Caracteristici
Introduces the innovative idea of applying information visualization techniques to the intrusion detection problem by combining a simple anomaly-based log reduction scheme The resulting approach applies unique intrusion detection requests from a web server log Includes a foreword by Dr. John McHugh, Director of the Privacy and Security Laboratory at Dalhousie University, Canada Includes supplementary material: sn.pub/extras