Sprache: Englisch
Verlag: Springer, 2012
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Taschenbuch. Zustand: Neu. Machine Learning and Data Mining for Computer Security | Methods and Applications | Marcus A. Maloof | Taschenbuch | xvi | Englisch | 2012 | Springer | EAN 9781849965446 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. 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.
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbGebunden. Zustand: New. No similar work existsVery hot topicDiverse and current view of areaAlso provides introductory background chapter for readers who are unfamiliar with inductive approachesDesigned to help such readers understand the contributed.
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In den WarenkorbPaperback. Zustand: Brand New. 300 pages. 9.00x6.00x0.50 inches. In Stock.
Buch. Zustand: Neu. Neuware - '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.