Machine Learning and Data Mining for Computer Security

Methods and Applications de

Éditeur :

Springer


Collection :

Advanced Information and Knowledge Processing

Paru le : 2006-02-27

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Description
"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.
Pages
210 pages
Collection
Advanced Information and Knowledge Processing
Parution
2006-02-27
Marque
Springer
EAN papier
9781846280290
EAN PDF
9781846282539

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
1219 Ko
Prix
137,14 €