2019/11/18 by Lê, Ngoc C., Dao, Manh-Tuan, Nguyen, Hoang-Linh +2
#FOS: Computer and information sciences #Social and Information Networks (cs.SI)
paper · doi:10.48550/arxiv.1911.07609
Social networks play a significant role in today's world. The importance of social networks, for example Facebook or Twitter, are undeniable. However, they also have many issues. One of which is the need for a defense mechanism against fake accounts. It is obviously not a trivial task to separate fake accounts from authentic ones. In this paper, we propose a ranking scheme, comprising of both graph based and feature based approaches to aid the detection of fake Facebook profiles. Utilizing Support Vector Machine (SVM) \citecortes1995 and SybilWalk \citeJWZ17, the model achieved high accuracy over the set of ten thousands Vietnamese Facebook accounts.