Understanding Intrusion Detection through Visualization

Stefan Axelsson|David Sands

ISBN 10: 0387276343 / ISBN 13: 9780387276342

Editore: Springer US, 2005

Riguardo questo articolo

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 w.

Codice articolo 5909657

Dati bibliografici

• Titolo: Understanding Intrusion Detection through Visualization
• Editore: Springer US
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0387276343
• ISBN 13: 9780387276342
• Rilegatura: Gebunden
• Condizione: New

Descrizione articolo

Riassunto

This monograph is the outgrowth of Stefan Axelson's 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. Axelsson's examination. In the Swedish system, it is the job of the opponent to place the candidate's 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.

Dalla quarta di copertina

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.