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An Application of Random Walk on Fake Account Detection Problem: A Hybrid Approach (1911.07609v1)

Published 18 Nov 2019 in cs.SI

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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Authors (5)
  1. Ngoc C. LĂȘ (5 papers)
  2. Manh-Tuan Dao (1 paper)
  3. Hoang-Linh Nguyen (2 papers)
  4. Tuyet-Nhi Nguyen (1 paper)
  5. Hue Vu (2 papers)
Citations (6)

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