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
Link To Document