Fake Profile Detection Using Machine Learning Algorithms

Authors

  • Abhimanyu Nayak,Dr. D.K. Singh

Keywords:

Fake profile detection, Machine learning algorithms, Social media security, Cybersecurity, Fraud detection, Behavioral analysis, Network analysis, Digital identity verification, Supervised learning, Ensemble methods

Abstract

The proliferation of social media platforms has led to an unprecedented increase in fake profile creation, posing significant threats to digital security, privacy, and authentic communication.This research investigates the application of machine learning algorithms for detecting fakeprofiles across various social media platforms

References

Anderson, J., Smith, K., & Johnson, M. (2023). "Digital Identity Verification in Social Media: Challenges and Opportunities." Journal of Cybersecurity Research, 15(3), 45-62. Available at: https://www.cybersecurityjournal.org/articles/digital-identity-verification

Chen, L., Wang, X., & Liu, Y. (2022). "Machine Learning Approaches for Social Media Fraud Detection." IEEE Transactions on Information Forensics and Security, 17, 28472859. Available at: https://ieeexplore.ieee.org/document/9834521

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Published

2024-05-15

How to Cite

Abhimanyu Nayak,Dr. D.K. Singh. (2024). Fake Profile Detection Using Machine Learning Algorithms . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2812–2828. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3635

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

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