Machine Learning and Data Mining for Computer Security by Marcus A. Maloof
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Machine Learning and Data Mining for Computer Security

Machine Learning and Data Mining for Computer Security


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About the Book

"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.


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Product Details
  • ISBN-13: 9781846280290
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 13
  • Height: 235 mm
  • No of Pages: 210
  • Series Title: Advanced Information and Knowledge Processing
  • Sub Title: Methods And Applications
  • Width: 164 mm
  • ISBN-10: 184628029X
  • Publisher Date: 10 Oct 2005
  • Binding: Hardback
  • Edition: 2006 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 16 mm
  • Weight: 548 gr


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