Survey on Fake Profile Detection on Social Sites by Using Machine Learning Algorithm

Kumud Patel, Sudhanshu Agrahari, Saijshree Srivastava
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引用次数: 9

Abstract

To avoid the spam message, malicious and cyber bullies activities which are mostly done by the fake profile. These activities challenge the privacy policies of the social network communities. These fake profiles are responsible for spread false information on social communities. To identify the fake profile, duplicate, spam and bots account there is much research work done in this area. By using a machine-learning algorithm, most of the fake accounts detected successfully. This paper represents the review of Fake Profile Detection on Social Site by Using Machine Learning.
基于机器学习算法的社交网站虚假资料检测研究
为了避免垃圾信息,恶意和网络欺凌的活动,这些大多是通过虚假的个人资料完成的。这些活动挑战了社交网络社区的隐私政策。这些虚假资料是在社交网络上传播虚假信息的罪魁祸首。为了识别虚假的个人资料,重复的,垃圾邮件和机器人账户,在这方面做了很多研究工作。通过使用机器学习算法,大多数虚假账户被成功检测出来。本文综述了基于机器学习的社交网站虚假个人资料检测技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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