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arXiv · 1911.07609

An Application of Random Walk on Fake Account Detection Problem: A Hybrid Approach

Ngoc C. Lê·Manh-Tuan Dao·Hoang-Linh Nguyen·Tuyet-Nhi Nguyen·Hue Vu
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Abstract

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) \cite{cortes1995} and SybilWalk \cite{JWZ17}, the model achieved high accuracy over the set of ten thousands Vietnamese Facebook accounts.

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Ngoc C. Lê, Manh-Tuan Dao, Hoang-Linh Nguyen, Tuyet-Nhi Nguyen, Hue Vu. 2019-11-18. An Application of Random Walk on Fake Account Detection Problem: A Hybrid Approach. https://arxiv.org/abs/1911.07609

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