• 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