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  • © 2020

Machine Learning for Authorship Attribution and Cyber Forensics

  • Unified approach to investigate digital crimes and identify suspects together with their collaborators and facilitators

  • Customized data mining and machine learning methods for investigating cyber-attacks and online crimes

  • In-depth study of methods in evidenced-based authorship analysis

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eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-61675-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
  2. Cybersecurity And Cybercrime Investigation

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 1-21
  3. Messaging Forensics In Perspective

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 23-36
  4. Analyzing Network Level Information

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 37-44
  5. Authorship Analysis Approaches

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 45-56
  6. Writeprint Mining For Authorship Attribution

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 57-74
  7. Authorship Attribution With Few Training Samples

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 75-87
  8. Authorship Characterization

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 89-94
  9. Authorship Verification

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 95-103
  10. Authorship Attribution Using Customized Associative Classification

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 105-120
  11. Criminal Information Mining

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 121-137
  12. Artificial Intelligence And Digital Forensics

    • Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
    Pages 139-150
  13. Back Matter

    Pages 151-158

About this book




Keywords

  • Cybercrime
  • Forensic investigation
  • Cyber forensics
  • Crime investigation
  • Data mining
  • Classification
  • Clustering
  • Authorship analysis
  • Statistical analysis
  • Authorship identification
  • Authorship characterization
  • Rule mining
  • Cybercrimes
  • Criminal networks
  • Writeprint
  • Stylometric features
  • Anonymity
  • Associative classification

Authors and Affiliations

  • Zayed University, Abu Dhabi, United Arab Emirates

    Farkhund Iqbal

  • School of Engineering & Computer Science, Concordia University, Montreal, Canada

    Mourad Debbabi

  • School of Information Studies, McGill University, Montreal, Canada

    Benjamin C. M. Fung

Bibliographic Information

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-61675-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)