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1703703 Vol 6 · Issue 1 Download Paper

Use of Artificial Neural Network to Identify Fake Profiles on social media

Aishwarya Bhagyavanti Biradar Biradar Aishwarya Ravindra Akshata Patil Prof. Masrath Begum

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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[2] https://www.cnbc.com/2018/01/31/facebook-earnings-q4-2017arpu.html

[3] https://www.cnet.com/news/facebook-breach-affected-50-millionpeople/

[4] https://www.facebook.com/policy.php

[5] Qiang Cao, Michael Sirivianos, Xiaowei Yang, and Tiago Pregueiro. 2012. Aiding the detection of fake accounts in large scale social online services. In Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation (NSDI'12). USENIX Association, Berkeley, CA, USA, 15-15.

[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

[7] Devakunchari Ramalingam, Valliyammai Chinnaiah. Fake profile detection techniques in large-scale online social networks: A comprehensive review. Computers & Electrical Engineering, Volume 65, 2018, Pages 165-177, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2017.05.020.

[8] https://www.enigmasoftware.com/top-20-countries-the-most-cybercrime

[9] pages.cs.wisc.edu/~bolo/shipyard/neural/local.html

[10] https://stackoverflow.com/questions/40758562/can-anyone-explain-mestandardscaler

[11] https://pandas.pydata.org

[12] https://www.tutorialspoint.com/python_pandas/index.htm

[13] http://www.numpy.org

[14] https://www.mathworks.com/products/matlab.html

[15] http://www.deeplearning.net/software/theano/

[16] https://scikit-learn.org/stable/

[17] https://keras.io

[18] https://www.tensorflow.org

How to cite this paper

Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum "Use of Artificial Neural Network to Identify Fake Profiles on social media" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 538-542
Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum "Use of Artificial Neural Network to Identify Fake Profiles on social media" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022
Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum (2022). Use of Artificial Neural Network to Identify Fake Profiles on social media. Iconic Research And Engineering Journals, 6(1).
Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum "Use of Artificial Neural Network to Identify Fake Profiles on social media" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022.
@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},
  }