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@article{171782,
        author = {Krupa Y S and Jahnavi and Sinchana M and Spoorthi A R and DR Emilin Shyni},
        title = {Automated Detection of Fraudulent and Spoof Accounts on Social media platform through Machine Learning Models},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1110-1117},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171782},
        abstract = {Social media platforms face a significant challenge in managing spoofing accounts, which threaten user trust and safety. These accounts are often used to impersonate individuals, spread misinformation, or engage in harmful activities such as cyberbullying. This paper proposes a comprehensive system that combines automation and admin assistance to address these issues. The system employs machine learning algorithms, including Random Forest, Support Vector Machine (SVM), and Decision Tree, to identify and classify spoofing accounts effectively. Accounts involved in bullying are automatically detected and made inactive to minimize harm. For accounts suspected of forgery, an admin-driven process is initiated, where the system analyzes and classifies the account type upon clicking an "Analyze" button. Once confirmed as forged, these accounts are rendered inaccessible, ensuring platform integrity. The proposed system integrates data preprocessing, feature extraction, and robust classification models to achieve high accuracy in detecting and managing spoofing accounts. Results demonstrate that this approach not only enhances the efficiency of admin operations but also improves the overall safety of the platform. By automating bullying detection and streamlining forged account classification, the system offers a scalable and effective solution for social media security. Future improvements aim to incorporate real-time detection and deeper behavioral analysis.},
        keywords = {Spoofing Accounts, Cyberbullying Detection, Machine Learning, Random Forest, Support Vector Machine (SVM), Decision Tree, Social Media Security, Forged Account Management},
        month = {January},
        }