DocumentCode
3128516
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
fYear
2012
fDate
11-14 June 2012
Firstpage
195
Lastpage
195
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4673-2105-1
Type
conf
DOI
10.1109/ISI.2012.6284306
Filename
6284306
Link To Document