A COMPARATIVE ANALYSIS ON THE COMBINED MULTI LEVEL FUNCTIONALITY FRAMEWORK IN CLOUD ENVIRONMENT WITH ENHANCED DATA SECURITY LEVELS FOR PRIVACY PRESERVATION

Cloud Computing (CC) refers to a network of remote servers and user access via the Internet. Distributed data centers all around the globe are responsible for providing the infrastructure and hosting the servers that power cloud services. The dynamic user group handling and securing their sensitive information
using cryptography model is a challenging task as the user groups are continuously increasing. Encryption is a better answer for these kinds of problems, but allowing access to users in the cloud has its own set of challenges. From the client's point of view, when the information is saved in the cloud, it
should be crypted well to ensure that no other user can read it if they get access to it in any way. Using cloud storage comes with a number of potential drawbacks, including the lack of security for critical information. This study examines the considerations that should be made when choosing a cloud service provider, with a focus on the client's encryption needs and how, without them, the client runs the risk of either losing data or paying more than necessary to the cloud service provider. To enhance the privacy preservation and key management issues a combined framework that handles data encryption, key
management and distribution, cloud user group management is analyzed in this research that enhance the data security levels using cryptography model and the key management and distribution process with the dynamic cloud user groups. This research performs a comparative analysis by comparing the combined framework with traditional models. The proposed model when compared with the existing methods exhibit better security levels