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Social Media Identity Deception Detection: A Survey

journal contribution
posted on 2024-11-02, 16:33 authored by Ahmed Alharbi, Hai DongHai Dong, Xun YiXun Yi, Zahir TariZahir Tari, Ibrahim KhalilIbrahim Khalil
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 analyzes 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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/3446372
  2. 2.
    ISSN - Is published in 03600300

Journal

ACM Computing Surveys

Volume

54

Number

69

Issue

3

Start page

1

End page

45

Total pages

45

Publisher

Association for Computing Machinery

Place published

United States

Language

English

Copyright

© 2021 Copyright held by the owner/author(s).

Former Identifier

2006107055

Esploro creation date

2021-06-01

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