SpidersRUs: automated development of vertical search engines in different domains and languages
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
US Domestic Extremist Groups on the Web: Link and Content Analysis
IEEE Intelligent Systems
Applying Authorship Analysis to Extremist-Group Web Forum Messages
IEEE Intelligent Systems
Intelligence and Security Informatics for International Security: Information Sharing and Data Mining (Integrated Series in Information Systems)
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security
Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security
| Hi-index | 0.00 |
In this paper we first provide a brief review of the Dark Web project of the University of Arizona Artificial Intelligence Lab. We then report our research design and case study that aim to identify the geolocation of the countries, cities, and ISPs that host selected international Jihadist web sites. We provide an overview of key relevant Internet functionality and architecture and present techniques for exploiting networking technologies for locating servers and resources. Significant findings from our case study and suggestion for future research are also presented.