DETECTING FAKE ACCOUNTS ON SOCIAL MEDIA USING ARTIFICIAL NEURAL NETWORKS

Authors

  • VANKAYALA MOHANA NAGA LAKSHMI Author
  • K. INDUMATHY Author
  • CHIMALAMARRI VENKATA NAGA SAI SRAVANI Author
  • GALI SAI SURYA Author
  • KALUVA VENKATA TEJA Author

Keywords:

personal data, dangers, fraudulent purposes, presence of bots and fake profiles, program, 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

08-03-2024

How to Cite

DETECTING FAKE ACCOUNTS ON SOCIAL MEDIA USING ARTIFICIAL NEURAL NETWORKS. (2024). International Journal of Information Technology and Computer Engineering, 12(1), 180-182. https://ijitce.org/index.php/ijitce/article/view/494