Understanding Intrusion Detection Through Visualization
(Sprache: Englisch)
Computer security - the protection of data and computer systems from intentional, malicious intervention - is attracting increasing attention. Much work has gone into development of tools to detect ongoing or already perpetrated attacks, but a key shortfall...
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Computer security - the protection of data and computer systems from intentional, malicious intervention - is attracting increasing attention. Much work has gone into development of tools to detect ongoing or already perpetrated attacks, but a key shortfall in current intrusion detection systems is the high number of false alarms they produce. This book analyzes the false alarm problem, then applies results from the field of information visualization to the problem of intrusion detection. Four different visualization approaches are presented, mainly applied to data from web server access logs.
Klappentext zu „Understanding Intrusion Detection Through Visualization “
Computer security - the protection of data and computer systems from intentional, malicious intervention - is attracting increasing attention. Much work has gone into development of tools to detect ongoing or already perpetrated attacks, but a key shortfall in current intrusion detection systems is the high number of false alarms they produce. This book analyzes the false alarm problem, then applies results from the field of information visualization to the problem of intrusion detection. Four different visualization approaches are presented, mainly applied to data from web server access logs.
Inhaltsverzeichnis zu „Understanding Intrusion Detection Through Visualization “
- Foreword 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.
Bibliographische Angaben
- Autoren: Stefan Axelsson , David Sands
- 2005, 145 Seiten, 34 Schwarz-Weiß-Abbildungen, Maße: 16,7 x 24,3 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 0387276343
- ISBN-13: 9780387276342
Sprache:
Englisch
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