An efficient bitcoin fraud detection in social media networks

Abstract

Today it is common that people are users of more than one social networking site, so more and more people have multiple accounts on the web. It is challenging to identify the anonymous users on the web. A technique based on the friend relationship is used to identify the same user on multiple social networking sites. It is based on the concept that friend relationships cannot be faked by others. Based on that FRUI (Friend Relationship User Identification) algorithm is developed to match users on multiple sites. It calculates the matching degree for all users with similar screen names on multiple sites and users with the highest matching degree will be considered as the identical users. The proposed method is extended to find the fraud identities in social media sites including the bitcoin concept.