Understanding Intrusion Detection through Visualization by Stefan Axelsson (Engl

Description: Understanding Intrusion Detection through Visualization by Stefan Axelsson, David Sands In the Swedish system, it is the job of the opponent to place the candidates work into a broader perspective, demonstrating its significance and contributions to the field and then to introduce the work to the attendees at the examination. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description This monograph is the outgrowth of Stefan Axelsons PhD Dissertation at Chalmers University in Göteborg, Sweden. The dissertation, in turn collects a number of research efforts performed over a period of six years or so into a coherent whole. It was my honor to serve as the "opponent" at Dr. Axelssons examination. In the Swedish system, it is the job of the opponent to place the candidates work into a broader perspective, demonstrating its significance and contributions to the field and then to introduce the work to the attendees at the examination. This done, the candidate presents the technical details of the work and the opponent critiques the work giving the candidate the opportunity to defend it^. This forward is adapted from the introduction that I gave at the examination and should serve to acquaint the reader, not only with the work at hand, but also with the field to which it applies. The title of the work, "Under standing Intrusion Detection Through Visualization," is particularly telling. As is the case with any good piece of research, we hope to gain an understanding of a problem, not just a recipe or simple solution of immediate, but limited utility. For much of its formative period, computer security concentrated on devel oping systems that, in effect, embodied a fortress model of protection. Notes Introduces the innovative idea of applying information visualization techniques to the intrusion detection problem by combining a simple anomaly-based log reduction schemeThe resulting approach applies unique intrusion detection requests from a web server logIncludes a foreword by Dr. John McHugh, Director of the Privacy and Security Laboratory at Dalhousie University, Canada Back Cover 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. 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. Long Description 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 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 Feature 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 Details ISBN0387276343 Author David Sands Short Title UNDERSTANDING INTRUSION DETECT Pages 145 Series Advances in Information Security Language English ISBN-10 0387276343 ISBN-13 9780387276342 Media Book Format Hardcover Series Number 24 Year 2005 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States DEWEY 005.8 Birth 1968 DOI 10.1007/b136301;10.1007/0-387-27636-X AU Release Date 2005-11-21 NZ Release Date 2005-11-21 US Release Date 2005-11-21 UK Release Date 2005-11-21 Publisher Springer-Verlag New York Inc. Edition Description 2006 ed. Edition 2006th Publication Date 2005-11-21 Alternative 9781441939067 Audience Professional & Vocational Illustrations 34 Illustrations, black and white; XX, 145 p. 34 illus. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96270487;

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