Social Media Identity Deception Detection: a Survey
Social Media Identity Deception Detection: A Survey AHMED ALHARBI, HAI DONG, XUN YI, ZAHIR TARI, and IBRAHIM KHALIL, School of Computing Technologies, RMIT University, Australia 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. CCS Concepts: • Security and privacy ! Social engineering attacks; Social network security and privacy. Additional Key Words and Phrases: identity deception, fake profile, Sybil, sockpuppet, social botnet, identity theft, identity cloning, detection techniques ACM Reference Format: Ahmed Alharbi, Hai Dong, Xun Yi, Zahir Tari, and Ibrahim Khalil. 2021. Social Media Identity Deception Detection: A Survey . ACM Comput. Surv. 37, 4, Article 111 (January 2021), 35 pages. https://doi.org/10.1145/ 1122445.1122456 1 INTRODUCTION Social media are web-based communication tools that facilitate people with creating customized user profiles to interact and share information with each other. Social media have been growing rapidly in the last two decades and have become an integral part of many people’s lives. Users in various social media platforms totalled almost 3.8 billion at the start of 2020, with a total growth of 321 million worldwide in the past 12 months1.
[Show full text]