The week's pick
Reseach Article
ANFIS based Spam filtering model for Social Networking Websites
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 11 |
| Year of Publication: 2012 |
| Authors: Dhananjay Kalbande, Harsh Panchal, Nisha Swaminathan, Preeti Ramaraj |
10.5120/6310-8635
|
Dhananjay Kalbande, Harsh Panchal, Nisha Swaminathan, Preeti Ramaraj . ANFIS based Spam filtering model for Social Networking Websites. International Journal of Computer Applications. 44, 11 ( April 2012), 32-36. DOI=10.5120/6310-8635
Abstract
Spam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. There are various types of spam such as email spam, forum spam, online classified ads spam, attachment spam, social networking spam etc. For the purpose of this paper, we would like to concentrate more on social networking spam (SNS). SNS is when unwanted messages or posts are sent to people in bulk, or when a single click of a seemingly harmless link reposts the link on other profiles, thus spreading the spam like a virus. We plan to use an adaptive neuro fuzzy inference system (ANFIS) that incorporates the advantages of both the neural networking concepts and fuzzy logic to identify the spam messages on such websites.
References
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