Machine Learning And Data Mining For Computer Security: Methods And Applications

Maloof

ISBN 10: 184628029X / ISBN 13: 9781846280290

Edité par Springer, 2005

A propos de cet article

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

N° de réf. du vendeur ABNR-241780

Détails bibliographiques

• Titre: Machine Learning And Data Mining For Computer Security: Methods And Applications
• Éditeur: Springer
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 184628029X
• ISBN à 13 chiffres: 9781846280290
• Reliure: Couverture souple
• Édition: Edition internationale
• État de l'article: New

A propos de ce titre

Synopsis

This timely book provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. It has a strong focus on information processing and combines and extends results from the hot topic of computer security.

Présentation de l'éditeur

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.