Scholarlink

The exponential growth of fake profiles on social media platforms has spurred a concerning surge in cyber threats, encompassing misinformation dissemination, phishing attacks, and identity theft. The study investigates machine learning techniques to address this urgent problem by differentiating between genuine and fake profiles by carefully examining characteristics like follower numbers and posting frequency. This helps to reinforce efforts to establish a more secure online environment and promote authenticity, strengthening digital trust.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Detecting Fake Identities with Machine Learning: A Comprehensive Literature Survey

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Vijaya Lakshmi,
  • Aishwarya Rao,
  • Kalyani Boddulah,
  • Ojaswi Cheekati,
  • Varsha Vadla

摘要

The exponential growth of fake profiles on social media platforms has spurred a concerning surge in cyber threats, encompassing misinformation dissemination, phishing attacks, and identity theft. The study investigates machine learning techniques to address this urgent problem by differentiating between genuine and fake profiles by carefully examining characteristics like follower numbers and posting frequency. This helps to reinforce efforts to establish a more secure online environment and promote authenticity, strengthening digital trust.