Intelligent Profiling for Identifying Counterfeit Digital Identities

Shirisha K J; Keerthana M

Intelligent Profiling for Identifying Counterfeit Digital Identities

August 2025

Vol-11, Issue-4

Paper ID: 27414

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Cyber Security and Machine Learning

Keywords

Fake profiles Online platforms Machine learning Random Forest Logistic Regression Decision Tree K-Nearest Neighbors Flask Fraud detection Social media security.

Abstract

In the digital era, online platforms have become essential for communication, business, and entertainment. However, the increasing prevalence of fake profiles poses severe challenges, including identity theft, scams, phishing, cyberbullying, and misinformation. Existing detection methods, such as manual moderation and rule-based systems, are inefficient, error-prone, and unable to adapt to evolving fraudulent techniques. To address these limitations, this research proposes an automated machine learning–based system for the identification of fake profiles in online platforms. The system leverages classification algorithms such as Random Forest, Logistic Regression, Decision Tree, and K-Nearest Neighbors (KNN) to detect fraudulent accounts based on user profile attributes, behavioral patterns, and interaction histories. A Flask-based web framework integrates these models, providing administrators with real-time predictions and reports for efficient monitoring. Experimental evaluation using labelled datasets demonstrates high accuracy, precision, recall, and F1-score, confirming the effectiveness of the system in detecting fraudulent profiles. This work contributes to enhancing online security, improving scalability, and strengthening user trust across social platforms.

License

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

Author Information

#	Name	Institute / Affiliation
1	Shirisha K J	T. JOHN INSTITUTE OF TECHNOLOGY
2	Keerthana M	T. JOHN INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style

J, Shirisha K & M, Keerthana (2025). Intelligent Profiling for Identifying Counterfeit Digital Identities. International Journal of Advance Research and Innovative Ideas In Education, 11(4), 3939-3944.

MLA Style

J, Shirisha K, and Keerthana M. "Intelligent Profiling for Identifying Counterfeit Digital Identities." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, 2025, pp. 3939-3944.

IEEE Style

Shirisha K J and Keerthana M, "Intelligent Profiling for Identifying Counterfeit Digital Identities," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, pp. 3939-3944, 2025.

Vancouver Style

J Shirisha K, M Keerthana. Intelligent Profiling for Identifying Counterfeit Digital Identities. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(4):3939-3944.

Harvard Style

J, Shirisha K & M, Keerthana (2025) 'Intelligent Profiling for Identifying Counterfeit Digital Identities', International Journal of Advance Research and Innovative Ideas In Education, 11(4), pp. 3939-3944.

Chicago Style

J, Shirisha K and Keerthana M. "Intelligent Profiling for Identifying Counterfeit Digital Identities." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 3939-3944.

Turabian Style

J, Shirisha K and Keerthana M. "Intelligent Profiling for Identifying Counterfeit Digital Identities." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 3939-3944.