Dark Web
Kurzinformation
inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
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. von Chen, Hsinchun
Produktdetails
So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
- paperback
- 272 Seiten
- Erschienen 2010
- Ulysses Press
- paperback
- 448 Seiten
- Erschienen 1996
- Bantam
- paperback -
- Erschienen 2001
- Image Comics
- Gebunden
- 224 Seiten
- Erschienen 2022
- Panini Verlags GmbH
- audioCD
- 200 Seiten
- Erschienen 2014
- Ronin-Hörverlag, ein Imprin...
- hardcover
- 408 Seiten
- Erschienen 2023
- BoD – Books on Demand
- hardcover
- 365 Seiten
- Erschienen 2014
- Forge
- paperback
- 92 Seiten
- Erschienen 2015
- Europäischer Literaturverlag
- paperback
- 400 Seiten
- Erschienen 2011
- Simon & Schuster Children's
- Hardcover
- 464 Seiten
- Diogenes
- Kartoniert
- 604 Seiten
- Erschienen 2013
- Heyne Verlag




