A Personalized Method for Blacklisting Users and Implementing Filtered Walls in OSN

one of the platforms where the wide range of communication and sharing of information is taking place since last few years. But still there must be some privacy regarding the preferences of the user. As social networks are very flexible in sharing or posting information, there has to be some limitation regarding the data being posted on the user’s wall. The choice of separating the unwanted data from the user is left to the opinion of the user, in this case. The concept of Content-Based Filtering and Blacklisting are the main focus in this paper. An Online Setup Assistant for Filtering rules Threshold is also maintained in order to get the number of times this filtered word is hit by the users. Mainly, the user is able to even add the information to the filter which user wants to avoid in the messages posted on his/her wall. Even if required future corrections are also available in this case, like updating of the filter or even is privileged to make a correction in future by giving user an option of removing the filter in case if the user feels it is necessary to