Article
Methods for Detecting Fake Profiles in Online Social Networks Using Artificial Neural Networks
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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.
Keywords
Support Vector Machine (SVM), K-Nearest Neighbours (KNN), Naive Bayes, and Decision Tree (SVM)
Citation
Koparthi, S. & Prasad, R. (2020). Methods for detecting fake profiles in online social networks using artificial neural networks. Turkish Journal of Computer and Mathematics Education, 11(1), 991–997.
S. Koparthi and R. Prasad, “Methods for detecting fake profiles in online social networks using artificial neural networks,” Turkish Journal of Computer and Mathematics Education, vol. 11, no. 1, pp. 991–997, 2020.
Koparthi S, Prasad R. Methods for detecting fake profiles in online social networks using artificial neural networks. Turkish Journal of Computer and Mathematics Education. 2020;11(1):991–997.
Koparthi, S. and Prasad, R. (2020), ‘Methods for detecting fake profiles in online social networks using artificial neural networks’, Turkish Journal of Computer and Mathematics Education, 11(1), pp. 991–997.
Koparthi, Suresh, and Rvvsv Prasad. “Methods for Detecting Fake Profiles in Online Social Networks Using Artificial Neural Networks.” Turkish Journal of Computer and Mathematics Education, vol. 11, no. 1, 2020, pp. 991–997.
Koparthi, Suresh, and Rvvsv Prasad. “Methods for Detecting Fake Profiles in Online Social Networks Using Artificial Neural Networks.” Turkish Journal of Computer and Mathematics Education 11, no. 1 (2020): 991–997.
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Published by: Engineering Journals


