An Approach for Filtering of Unwanted Messages from Social Networks wall using Blacklist Technique

Authors(2) :-Minal S. Mahure, Prof. P. L. Ramteke

In recent years, Online Social Networks (OSNs) have become an important part of daily life. Users build explicit networks to represent their social relationships. Users can upload and share information related to their personal lives. The potential privacy risks of such behavior are often ignored. And the fundamental issue in today On-line Social Networks is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. Today OSNs provide very little support to prevent unwanted messages on user walls. For that purpose, we proposed a new system allowing OSN users to have a direct control on the messages posted on their walls. We design the system where message are filter on the basses of its contents by using contents base filtering and blacklist technique. So that unwanted messages will not be post on user wall, also that unwanted message will be block.

Authors and Affiliations

Minal S. Mahure
CSIT, Shree Hanuman Vyayam Prasarak Mandal College of Engineering & Technology, Amravati, Maharashtra, India
Prof. P. L. Ramteke
CSIT, Shree Hanuman Vyayam Prasarak Mandal College of Engineering & Technology, Amravati, Maharashtra, India

Filter Wall, Safe mode ,Content base filtering, Filtering of Images.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 157-160
Manuscript Number : IJSRSET162649
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Minal S. Mahure, Prof. P. L. Ramteke, " An Approach for Filtering of Unwanted Messages from Social Networks wall using Blacklist Technique, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.157-160, November-December-2016.
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