• DocumentCode
    1909574
  • Title

    Internet Privacy Database

  • Author

    Chen-Chi Shing ; Kumar, J.S. ; Powell, A. ; Htay, M.

  • Author_Institution
    Inf. Technol. Dept., Radford Univ., Radford, VA, USA
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    31
  • Lastpage
    34
  • Abstract
    Internet privacy has become an overlooked yet essential part our everyday lives. At any given moment, while browsing a web page, your identity could be stolen leaving you in thousands of dollars in debt. The purpose of this paper is to aid the general public to become more aware of these issues and the laws pertaining to them. We propose the creation of a database using machine learning and data mining techniques with the specific purpose of educating and informing the general public on these laws. In effect, we hope this will raise awareness on the subject as well as aiding any legal counsel needing quick but informative answers regarding internet invasion of privacy.
  • Keywords
    Internet; data privacy; learning (artificial intelligence); Internet privacy database; Web page; data mining; machine learning; big data; data analytic; internet law; internet privacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2012 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-4673-5680-0
  • Type

    conf

  • DOI
    10.1109/ISISE.2012.16
  • Filename
    6495292