Machine Learning and Data Mining for Computer Security : Methods and Applications

Marcus A. Maloof

ISBN 10: 1849965447 / ISBN 13: 9781849965446

Edité par Springer, Springer, 2012

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - '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.

N° de réf. du vendeur 9781849965446

Détails bibliographiques

• Titre: Machine Learning and Data Mining for Computer Security : Methods and Applications
• Éditeur: Springer, Springer
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 1849965447
• ISBN à 13 chiffres: 9781849965446
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 13 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 13 millimètres de profondeur
• Poids: 353 grammes

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.