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@article{196786,
        author = {Mohammed Aadhil Syed A and Madhu Sree P S and G. Ram Sundar},
        title = {WEB APPLICATION SECURITY AUDIT TOOL},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4486-4489},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196786},
        abstract = {The rapid growth of cloud computing has increased the need for secure data sharing mechanisms. This paper proposes a secure cloud-based file sharing system that ensures data confidentiality, controlled access, and user accountability. The system uses Advanced Encryption Standard (AES) for securing files before storage. Access to files is controlled through an approval-based mechanism, where file owners grant permission and share secret keys securely via email. Additionally, the system includes intrusion detection by monitoring login attempts and blocking unauthorized users. A machine learning-based malicious URL detection module using Random Forest classifier enhances cybersecurity by identifying phishing and harmful links. The proposed system provides a secure and efficient solution for cloud data sharing.},
        keywords = {},
        month = {April},
        }