Title :
Building a web collection for online surveillance of U.S. domestic terrorism
Author :
Chung, Wingyan ; Tang, Wen
Author_Institution :
Sch. of Bus. & Econ., UNC Fayetteville State Univ., Fayetteville, NC, USA
Abstract :
As the trend of domestic terrorism grows rapidly, using web collections to support online surveillance should help intelligence and security personnel track down the sinister activities on the web. In this research, we have developed a collection of U.S. domestic terrorism websites and have conducted preliminary analysis of the sites´ content and usage. We developed a novel approach to extracting textual, hyperlink, and usage information from websites. Our ongoing works include discovering hidden patterns from a collection of U.S. domestic terrorism websites and uncovering interesting usage and content patterns. This work should contribute to the area of online security surveillance using website data.
Keywords :
Internet; Web sites; data mining; government data processing; information retrieval; security of data; terrorism; text analysis; U.S. domestic terrorism Web sites; Web collection; Web mining; data mining; hyperlink information extraction; online security surveillance; text mining; textual information extraction; usage information extraction; Educational institutions; Feature extraction; Surveillance; Terrorism; USA Councils; Web pages; data mining; domestic terrorism; online surveillance; text mining; web collection; web mining;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4673-2105-1
DOI :
10.1109/ISI.2012.6284306