Filter unwanted messages from walls and blocking non-legitimate users in OSN
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
The best entertainment for younger generation is given in the form of social Networking sites. The online social network (OSN) helps on individual to connect with their friends, family and the society to collect and share information with others. Now days, the OSN are facing the problem of people posting the indecent messages on any individuals wall which annoys other people on seeing them. The OSN provide little support to prevent unwanted message. So the propose system allowing OSN users to have a direct control on the message posted on their wall. This is achieved through filter wall (FW) able to filter unwanted message from OSN user walls. We propose a system using machine learning (ML) for filtering unwanted message. In our project Blacklists are used for more flexibility by which filtering choices are increased. Proposed system provides security to the online social Networks.
Authors and Affiliations
Miss. Gaikwad Rupali B, Miss. Kharat Mohini K, Mr. Tamhane Ajinkya V, Mr. Harde Pradeep S.
Keywords
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