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Machine Learning and Data Mining for Computer Security

Machine Learning and Data Mining for Computer Security

Methods and Applications

by Marcus A. Maloof
Paperback
Publication Date: 14/03/2012

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"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.
ISBN:
9781849965446
9781849965446
Category:
Artificial intelligence
Format:
Paperback
Publication Date:
14-03-2012
Language:
English
Publisher:
Springer London Ltd
Country of origin:
United Kingdom
Pages:
210
Dimensions (mm):
235x155x12mm
Weight:
0.35kg

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