STUDY OF PRESERVING PRIVACY IN MOBILE SOCIAL NETWORK BY PERSONALIZATION OF FINE GRAINED SPAM FILTERING SCHEME

Abstract

Mobile social-networking is a social networking where people with similar interests connect to their social communities with a mobile device. Mobile users share various types of information, such as newsletters, advertisements, experiences, interests, opinions and personal content through their mobile devices. Because of Mobile social network (MSN) it is possible for mobile users’ to share information in the near area and makes their cyber–physical–social interaction easier. It is very important to filter spams before they arrive at the recipients because as the advertisements, rumors, and spams spread in MSNs. The paper presents spam filtering scheme with privacy preservation in MSNs. The mobile users i.e. filter creators will build their personalized filters by embedding keywords. The filter creator sends his filter to his social friends i.e., filter holders. When filter holders meet a sender who is interested to send a packet to the filter creator, filter holders use these filters to check if the packet is desired by the filter creator, if not then such messages will block by filter holder.