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 :
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