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Machine learning forensics for law enforcement, security, and intelligence [electronic resource] / Jesus Mena.

By: Mena, Jesus.
Material type: materialTypeLabelBookPublisher: Boca Raton, Fla. : Taylor & Francis, 2011Description: xii, 337 p. : ill., maps.ISBN: 9781439860700 (ebook : PDF).Subject(s): Forensic sciences -- Data processing | Computer crimes -- Investigations | Electronic evidence | Computer security | Machine learningGenre/Form: Electronic books.Additional physical formats: No titleOnline resources: Distributed by publisher. Purchase or institutional license may be required for access. Also available in print edition.
Contents:
ch. 1. What is machine learning forensics? -- ch. 2. Digital investigative maps and models : strategies and techniques -- ch. 3. Extractive forensics : link analysis and text mining -- ch. 4. Inductive forensics : clustering incidents and crimes -- ch. 5. Deductive forensics : anticipating attacks and precrime -- ch. 6. Fraud detection : on the Web, wireless, and in real time -- ch. 7. Cybersecurity investigations : self-organizing and evolving analyses -- ch. 8. Corporate counterintelligence : litigation and competitive investigations.
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"An Auerbach book."

Includes bibliographical references and index.

ch. 1. What is machine learning forensics? -- ch. 2. Digital investigative maps and models : strategies and techniques -- ch. 3. Extractive forensics : link analysis and text mining -- ch. 4. Inductive forensics : clustering incidents and crimes -- ch. 5. Deductive forensics : anticipating attacks and precrime -- ch. 6. Fraud detection : on the Web, wireless, and in real time -- ch. 7. Cybersecurity investigations : self-organizing and evolving analyses -- ch. 8. Corporate counterintelligence : litigation and competitive investigations.

Also available in print edition.

Mode of access: World Wide Web.

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