Social Media Identity Deception Detection: A Survey
Ahmed Alharbi, Hai Dong, Xun Yi, Zahir Tari, Ibrahim Khalil

TL;DR
This survey reviews various social media identity deception attacks and detection techniques, highlighting challenges and providing insights for researchers and platform providers to improve detection methods.
Contribution
It offers a comprehensive categorization of identity deception attacks and a detailed review of detection techniques, identifying key research challenges.
Findings
Categorization of deception attacks into fake profiles, identity theft, and cloning
Analysis of existing detection techniques and their limitations
Identification of primary research challenges in detection methods
Abstract
Social media have been growing rapidly and become essential elements of many people's lives. Meanwhile, social media have also come to be a popular source for identity deception. Many social media identity deception cases have arisen over the past few years. Recent studies have been conducted to prevent and detect identity deception. This survey analyses various identity deception attacks, which can be categorized into fake profile, identity theft and identity cloning. This survey provides a detailed review of social media identity deception detection techniques. It also identifies primary research challenges and issues in the existing detection techniques. This article is expected to benefit both researchers and social media providers.
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