Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 11, Issue 1


Published
on


Pages

991-997


DOI

Article

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


Authors

Suresh Koparthi* Affiliation:
Professor, Bhimavaram Institute of Engineering & Technology, Pennada, Bhimavaram, India
and Rvvsv Prasad Affiliation:
Professor, Swarnandhra College of Engineering & Technology, Narsapur, - 534275, India


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.

Published by: Engineering Journals

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