Future Internet (Aug 2020)

Vulnerabilities to Online Social Network Identity Deception Detection Research and Recommendations for Mitigation

  • Max Ismailov,
  • Michail Tsikerdekis,
  • Sherali Zeadally

DOI
https://doi.org/10.3390/fi12090148
Journal volume & issue
Vol. 12, no. 9
p. 148

Abstract

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Identity deception in online social networks is a pervasive problem. Ongoing research is developing methods for identity deception detection. However, the real-world efficacy of these methods is currently unknown because they have been evaluated largely through laboratory experiments. We present a review of representative state-of-the-art results on identity deception detection. Based on this analysis, we identify common methodological weaknesses for these approaches, and we propose recommendations that can increase their effectiveness for when they are applied in real-world environments.

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