Published on: April 2026
INVESTIGATING CREDENTIAL-BASED AND BEHAVIORAL CHARACTERISTICS FOR THE DEVELOPMENT OF AN INTELLIGENT FRAMEWORK TOWARD FAKE ACCOUNT IDENTIFICATION
Harjot Kaur
Dr. Nirmal Kaur
Article Status
Available Documents
Abstract
The rapid growth of online platforms has significantly increased the challenge of maintaining secure and trustworthy digital environments. One of the major concerns associated with this growth is the widespread creation of fake accounts, which are often used for spam dissemination, financial fraud, misinformation campaigns, and manipulation of online interactions. Such activities negatively affect platform integrity, user trust, and overall cybersecurity. Traditional fake account detection systems primarily depend on long-term behavioral monitoring and post- registration activity analysis. Although these methods can provide meaningful insights, they often introduce delays in detection, allowing malicious accounts to exploit platform vulnerabilities before being identified.
How to Cite this Paper
Kaur, H. (2026). Investigating Credential-Based and Behavioral Characteristics for the Development of an Intelligent Framework Toward Fake Account Identification. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.811
Kaur, Harjot. "Investigating Credential-Based and Behavioral Characteristics for the Development of an Intelligent Framework Toward Fake Account Identification." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.811.
Kaur, Harjot. "Investigating Credential-Based and Behavioral Characteristics for the Development of an Intelligent Framework Toward Fake Account Identification." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.811.
Search & Index
References
- Stringhini, , Kruegel, C., & Vigna, G. (2010). Detecting spammers on social networks.
- Proceedings of the Annual Computer Security Applications Conference, 1–9.
- Varol, O., Ferrara, E., Davis, C. A., Menczer, F., & Flammini, A. (2017). Online human-bot interactions: Detection, estimation, and characterization. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 280–289.
- Ferrara, , Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots.
- Communications of the ACM, 59(7), 96–104.
- Yang, K. C., Varol, O., Hui, P. M., & Menczer, F. (2020). Scalable and generalizable social bot detection through data selection. Proceedings of the AAAI Conference on Artificial Intelligence, 34(01), 1096–1103.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 27 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.