Privacy Preservation on the Cloud Data Multikeyword Search Using Deep Learning

The technology was vulnerable to online hackers and assaults on the open and dispersed nature of the cloud. To recognize and stop both internal and external attacks in a cloud ecosystem with high identification accuracy and minimal false alerts, it should be essential to create an anomalous network platform. In this study, researchers proposed an intelligent method of instantaneously creating an effective and hybrid classification method called Network Privacy Preservation based K-Means Recurrent Neural Network (NPK-RNN) predicted using both of normalized K-means segmentation method to RNN & Privacy Preservation that results would be known as NPK. The researchers use three freely accessible data sets to detect negative/offensive comments on social media in multilingual languages to respond to such an in-depth study. The proposed approach is to improve the privacy preservation on searching the data on cloud using multikeyword. As demonstrated empirically by comparison with other classification techniques developed successful invasions.