Social Network Security Framework Employing Textual Patterns and Extreme Classifier for Spam User Detection

Authors

  • Karramareddy Sharmila, Udaykiran Bhargava Gollamandala, Usthulamuri Penchalaiah

Keywords:

online social networks, machine learning algorithms, extreme learning machine, Spammers, Twitter spam identification

Abstract

The rapid expansion of Online Social Networking (OSN) platforms such as Twitter hasled to a significant rise in spam content and fake user accounts, creating major challenges for user safety, platform integrity, and computational

References

Jimoh, R. G., et al. "Experimental evaluation of ensemble learning-based models for twitter spam classification." 2022 5th Information Technology for Education and Development (ITED). IEEE, 2022

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Published

2024-07-20

How to Cite

Karramareddy Sharmila, Udaykiran Bhargava Gollamandala, Usthulamuri Penchalaiah. (2024). Social Network Security Framework Employing Textual Patterns and Extreme Classifier for Spam User Detection. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 3007–3016. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4174

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.