Secure and Privacy System for to Filter Unwanted Message from OSN User wall
| Author(s) | : | Zeenath Anjum |
| Institution | : | COMPUTER SCIENCE AND ENGINEERING, SVS GROUP OF INSTITUTIONS |
| Published In | : | Vol. 4, Issue 12 — December 2017 |
| Page No. | : | 500-502 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Online social networks plays major role in the world to share information and also its helps to communicate witheach other. Security and privacy is main concern in online social sites. One elementary issue in these days On-line SocialNetworks (OSNs) is to grant users the flexibility to regulate the messages announce on their own personal area to avoid thatunwanted content is displayed. Now- a-days, the OSNs face the problem of the people posting the indecent messages on anyindividual's wall that annoys other people others on seeing them. So as to filter those unbearable messages a system knownas Machine Learning is introduced. The aim of the current work is therefore to propose and by experimentation evaluate anautomated system, known as Filtered Wall (FW), able to filter unwanted messages from OSN user walls
Zeenath Anjum, “Secure and Privacy System for to Filter Unwanted Message from OSN User wall”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. 500-502, December 2017.
