Profile Similarity Technique for Detection of Duplicate Profiles in Online Social Network

In the current generation social network has become a popular way to communicate with each other which are spread across diverse location around the world. In social network any user can find other users and make friendship and they can make friend circle online around the world and thus users can form their own network. An Individual user can have multiple social network accounts to keep in touch with friends in many social networking sites. Online Social Network users are not aware of the various security attacks like privacy violation, identity theft etc. Any user can create fake profiles with the name of real user. Other online social users will think it as real users and they might be responded to them which are not actually the real user. It makes the whole network quite confusing and frustrating. In this paper, we will provide a similarity technique which can analyze social network data based on attributes similarity. The proposed system can detect as many similar social network profiles as possible and analyse them in order to find whether it belongs to same or different persons. It makes other user easy to communicate with each other in a safe and efficient manner. Keywords—Social Network Analysis, Social Engineering Attack; Duplicate profiles; Global profile Database, Profile attributes matching, Suspicious profiles