Machine Learning and Data Mining for Computer Security

Marcus A. Maloof - Collection Advanced Information and Knowledge Processing

210 pages, parution le 18/10/2005

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Résumé

Machine Learning and Data Mining for Computer Security provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security.

The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables.

This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.

Sommaire

Foreword
Preface
Introduction
Survey Contributions
Research Contributions
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Marcus A. Maloof
Collection	Advanced Information and Knowledge Processing
Parution	18/10/2005
Nb. de pages	210
Format	16 x 24
Couverture	Relié
Poids	462g
Intérieur	Noir et Blanc
EAN13	9781846280290
ISBN13	978-1-84628-029-0