Methods for Detecting Fake Profiles in Online Social Networks Using Artificial Neural Networks

Main Article Content

Dr. Koparthi Suresh
Dr. RVVSV Prasad

Abstract

In light of the current situation, most individuals are participating in online social networks. Everyone, from kids to adults, spends a lot of time on these sites, either learning new things or getting in touch with friends and family in more effective ways. However, today's social media platforms are plagued by a large number of bogus accounts that exploit security flaws in order to steal from the sites or commit cybercrimes themselves.

Article Details

Section

Research Articles

How to Cite

Methods for Detecting Fake Profiles in Online Social Networks Using Artificial Neural Networks. (2020). Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(1), 991-997. https://doi.org/10.17762/turcomat.v11i1.14272

References

. Awasthi, S., Shanmugam, R., Jena, S.R. and Srivastava, A., 2020. Review of Techniques to

Prevent Fake Accounts on Social Media.

. Hajdu, G., Minoso, Y., Lopez, R., Acosta, M. and Elleithy, A., 2019, May. Use of Artificial

Neural Networks to Identify Fake Profiles. In 2019 IEEE Long Island Systems, Applications and

Technology Conference (LISAT) (pp. 1-4). IEEE.

. Kaur, J. and Sabharwal, M., 2018. Spam detection in online social networks using feed forward

neural network. In RSRI conference on recent trends in science and engineering (Vol. 2, pp. 69-78).

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