FortiShare: A Predictive Cloud File Sharing System for Detecting Intrusions

Significant advantages have resulted from improvements in data storage and collaboration through cloud-based file sharing systems. Recognizing the risk of data breaches and cyber-attacks, which calls for the installation of stronger security measures, is essential. This research focuses on a thorough examination of the current literature that highlights the demand for a secure cloud file sharing system that identifies weaknesses and anticipates future attacks before they cause any damage. The suggested system encrypts the files using the AES (Advanced Encryption Standard) algorithm before they are processed and stored. Convolutional Neural Networks (CNN) are used by the system along with real-time monitoring to find weaknesses, anticipate threats, and guarantee data integrity. By keeping an eye out for abnormalities or breaches, prompt notifications are set off to bolster security protocols and further restrict malicious users. This integrated strategy contributes to strengthening cloud-based file sharing, which helps make both individuals’ and organizations’ environments safer.