A Review on Novel Technique to Filter Unwanted Messages from OSN?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 10)Publication Date: 2014-10-30
Authors : Janavee Jambhulkar; Deepak Kapgate;
Page : 836-839
Keywords : Internet; filtering; online social network; security; socialization;
Abstract
Internet has a big influence in the life of the people in positive way. The usage of internet has increased enormously. In current years Online Social Networks also developed and plays an equivalent role. Online social networks are ideal for exchanging ideas, views and public opinion. Hence Online Social Networks should be highly secure and should protect the individual’s privacy. The Online Social Network provides the security measures but they were limited. During Socialization the user can access the profile of other members involved in social sites and even share data such as text, images etc. One crucial issue in user wall is to give users the ability to control the messages posted on their own confidential space in order to avoid unwanted content to be displayed. In this paper, we review filtering methods by using machine learning technique to filter the unwanted messages on the user walls.
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Last modified: 2014-10-30 16:32:56