Abstract
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.
Original language | English |
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Article number | 148 |
Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Future Internet |
Volume | 12 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2020 |
Bibliographical note
Publisher Copyright:© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Deception
- Detection
- Identity
ASJC Scopus subject areas
- Computer Networks and Communications