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Data Mining and Machine Learning in Cybersecurity


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This book meets this need. From the basic concepts in machine learning and data mining developed in the machine learning problem domains, Data Mining and Machine Learning in Cybersecurity provide an integrated reference to specific machine learning solution to the problem of cyber security. It also: Introducing advanced techniques to detect new attacks Contain? In-depth discussion of machine learning solution to categorize the problem of detection methods for detecting, scanning, and the profile of cybersecurity intrusion and anomaly survey of contemporary issues and introduce state-of-the-art-learning and data mining solution to privacy-preserving details of data mining methods Interdisciplinary resources including reviews table technique that allows for quick access to common cybersecurity problems and related data mining methods. A number of illustrative figures to help readers visualize complex engineering workflows and more than forty case studies provide a clear understanding of the design and application of data mining and machine learning techniques in cybersecurity.

Computer eBook Details

  • ISBN-10: 1439839425
  • ISBN-13: 9781439839423
  • Publisher: Auerbach Publications
  • Pages: 256
  • Date: April 2011

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