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Use of Artificial Neural Network to Identify Fake Profiles on social media
Subject area: Science,Engineering and Technology · Area of research: Computer Science and Engineering
Abstract
In this project, 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.
References
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[6] Akshay J. Sarode and Arun Mishra. 2015. Audit and Analysis of Impostors: An experimental approach to detect fake profile in an online social network. In Proceedings of the Sixth International Conference on Computer and Communication Technology 2015 (ICCCT '15). ACM, New York, NY, USA, 1-8. DOI: https://doi.org/10.1145/2818567.2818568
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[13] http://www.numpy.org
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[18] https://www.tensorflow.org
How to cite this paper
@article{1703703,
author = {Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum},
title = {Use of Artificial Neural Network to Identify Fake Profiles on social media},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {6},
number = {1},
pages = {538-542},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703703.pdf},
abstract = {In this project, 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.},
month = {July},
}