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Filtering Unwanted Message Using Firewall Technique in Online Social Networks

Author(s):

M.Bhuvaneshwari , Trinity College for Women, Namakkal; K.Valarmathi, Trinity College for Women, Namakkal.; R.Navamani, Trinity College for Women, Namakkal.

Keywords:

Machine Firewall Techniques, Online Social Networks (OSN), Short Text Classifier, Filtered Wall, Filtering Rules and Black List

Abstract

Internet develops keen on more popular in the day to day activities of user’s. In current years online social networks (OSN) also increased rapidly. The users know how to communicate and share their views and content through online social networking services. The portion between the users is supposed to be several types of content like image, audio, video etc. The mainly significant draw-back of these Online Social Networking (OSN) armed forces is the lack of isolation for the user’s own classified space. The users can’t have the ability to direct control to prevent the undesired communication post on their individual private walls. Online Social Networks (OSN) becomes an inner part of many people life today. So Online Social Networks (OSN) should be extremely secured to prevent the individual’s privacy. Up to now the Online Social Network (OSN) provides the security events are incomplete. To filter the unwanted messages, in this paper we proposed an enhanced filtering system by using Firewall learning technique based on a content filtering.

Other Details

Paper ID: IJSRDV4I80010
Published in: Volume : 4, Issue : 8
Publication Date: 01/11/2016
Page(s): 161-164

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