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@article{186932,
        author = {Dhiraj Rajendra Ahire and Vishakha Santosh Rathod and Shifa Shakir Shaikh and Purushottam Babasaheb Thombre and Priyanka Palve},
        title = {Secure Persona Prediction and Data Leakage Prevention: A Comprehensive Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {4349-4352},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186932},
        abstract = {In the era of rapid digitalization, safeguarding user identity and preventing unauthorized data access have become critical challenges. This paper presents an overview of Secure Persona Detection and Data Leakage Prevention System, designed to enhance cybersecurity through behaviour-based identity verification and proactive threat mitigation. The proposed framework utilizes machine learning models to analyse user activity patterns, detect anomalies, and prevent potential data breaches in real time. It further integrates encryption, role-based access control, and keyword-based leakage monitoring to ensure confidentiality and integrity of sensitive information. The system’s user-friendly dashboard enables administrators to visualize data flow, monitor alerts, and manage access permissions efficiently. This study highlights the growing importance of intelligent, adaptive security systems capable of balancing usability and protection in modern networked environments.},
        keywords = {secure persona detection, data leakage prevention, machine learning, behavioral analysis, data security, encryption},
        month = {November},
        }