USE OF ARTIFICIAL NEUTRAL NETWORKS BY IDENTIFY FAKE PROFILE

Authors

  • P MOUNIKA Author
  • T. PALLAVI SURYA Author

Keywords:

machine learning, artificial neural network, Facebook, social network page, web scraping, private information

Abstract

we use machine learning, namely an artificial neural network to determine what are the chances that Facebook friend request is authentic or not. We also outline the classes and libraries involved. Furthermore, we discuss the sigmoid function and how the weights are determined and used. Finally, we consider the parameters of the social network page which are utmost important in the provided solution. The other dangers of personal data being obtained for fraudulent purposes is the presence of bots and fake profiles. Bots
are programs that can gather information about the user without the user even knowing. This process is known as web scraping. What is worse, is that this action is legal. Bots can be hidden or come in the form of a fake friend request on a social network site to gain access to private information.

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Published

19-07-2024

How to Cite

USE OF ARTIFICIAL NEUTRAL NETWORKS BY IDENTIFY FAKE PROFILE. (2024). International Journal of Information Technology and Computer Engineering, 12(3), 153-156. https://ijitce.org/index.php/ijitce/article/view/654