Social Media Identity Deception Detection

Author:

Alharbi Ahmed1,Dong Hai1,Yi Xun1,Tari Zahir1,Khalil Ibrahim1

Affiliation:

1. School of Computing Technologies, RMIT University, Melbourne, VIC, Australia

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 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.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tech Innovations & Dataset Analysis to Combat Fake Accounts in Digital Communities;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

2. Internet-Based Social Engineering Psychology, Attacks, and Defenses: A Survey;Proceedings of the IEEE;2024-03

3. Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media;Lecture Notes in Computer Science;2024

4. Detecting malicious reviews and users affecting social reviewing systems: A survey;Computers & Security;2023-10

5. Risk Assessment of Linkedin Profiles;2023 8th International Conference on Computer Science and Engineering (UBMK);2023-09-13

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