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Integrated Series in Information Systems

Dark Web

Exploring and Data Mining the Dark Side of the Web

Authors: Chen, Hsinchun

  • Examines and explains every aspect of an important ongoing research program in terrorism informatics
  • Interdisciplinary perspective looks at three dimensions: methodological issues, database and computational techniques, and legal, social and privacy challenges
  • Hsinchun Chen is a worldwide leader in data mining research and a prolific Springer author​
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eBook $149.00
price for USA
  • ISBN 978-1-4614-1557-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-4614-1556-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4899-9286-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace.

This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches.  It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.

Reviews

From the reviews:

“Chen’s 450-page monograph is a very detailed (yet understandable), up-to-date account of research into one very specific area of Web research. … the book can be interesting reading for academicians, researchers, and students at universities … . It is also recommended for researchers in security-related disciplines. … the book should also interest security specialists in the industry, especially those dealing with IT-related issues … . Overall, the book presents a wealth of research results on an important subject, in a consistent way.” (P. Navrat, ACM Computing Reviews, October, 2012)


Table of contents (22 chapters)

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-4614-1557-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-4614-1556-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4899-9286-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Dark Web
Book Subtitle
Exploring and Data Mining the Dark Side of the Web
Authors
Series Title
Integrated Series in Information Systems
Series Volume
30
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-1557-2
DOI
10.1007/978-1-4614-1557-2
Hardcover ISBN
978-1-4614-1556-5
Softcover ISBN
978-1-4899-9286-4
Series ISSN
1571-0270
Edition Number
1
Number of Pages
XXVI, 454
Topics