Cloud containers on servers can securely and efficiently process data according to the needs of users. Depending upon the cloud service providers policy, preserving privacy of data and preserving sensitive data are carried out using an extra efficient robust techniques. As usage of such server containers increased the allocation of container space to specific users is sorted out with the usage of Long Short-Term Memory (LSTM) algorithm and allocation will be done accordingly. Containers will be classified under cloud servers by generating id to each and they will be further classified as sensitive and non-sensitive data in containers. Non-sensitive data will be preserved in public containers. Sensitive data will be further categorized into user driven sensitive data using rotation forest algorithm and predicting sensitive data aided from training data. Those indicated sensitive data will be secured in privacy preserving containers using ECC encryption. Sensitive id will be generated for each segment of sensitive data and that will be authorized during id matching and merging while retrieving data from containers.

Cloud Container, Privacy Preserving, Sensitive Data, Non-Sensitive Data, Rotation Forest Algorithm, Elliptic-Curve Cryptography, Sensitive ID generator.