Call For Paper Volume:4 Issue:8 Aug'2017 |

A Survey Filtering Unwanted Post from OSN User Wall using Automatic Blacklist Generation

Publication Date : 15/06/2015



Author(s) :

Rijavan A. Shaikh , Ms. Rachana Kamble.


Volume/Issue :
Volume 2
,
Issue 6
(06 - 2015)



Abstract :

A human is social animal and social Networking plays an important role in everyday life. The best entertainment for todays human is Social Networking and becomes an important part of many peoples life today.  In recent years use of online social networks increased rapidly.  A User communicates with other by sharing several types of contents like text, image, smiley etc. So Online Social Networks (OSN) should be secured to protect every user’s privacy. Main problem of these Online Social Network service is the deficiency of privacy for the user’s own message area. Today OSN provide less support to avoid unwanted messages on private message area. For example, Facebook allows users to control who is allowed to put messages in their walls but no message based preferences are supported and therefore it is not possible to prevent undesired messages, such as vulgar and offensive messages. To overcome the limited security measures provided by OSN to filter the unwanted messages, in proposed paper an enhanced filter using machine learning technique and natural language processing based on a content filtering. Two levels of classifications are performed. Messages are categorized as normal and unwanted in first level. In Second level unwanted messages are again classified as per their category. Also blacklisting of messages and user is implemented. To avoid future posts, the user who posts the unwanted messages will be kept in black list until user removes the blacklisted user.


No. of Downloads :

11


Indexing

Web Design MymensinghPremium WordPress ThemesWeb Development

A Survey Filtering Unwanted Post from OSN User Wall using Automatic Blacklist Generation

June 13, 2015