This document proposes a model-driven approach and framework to improve security and privacy for data stored in cloud computing environments. The key aspects of the proposed approach are:
1) A model-driven platform that allows security requirements to be defined at the modeling layer and then transformed into enforceable security configurations.
2) A framework for data security and privacy that uses multi-layer encryption techniques when storing data in the cloud. This is intended to enhance security and privacy for sensitive data.
3) The approach aims to address challenges around access control, insider threats, key management, and metadata privacy in cloud computing. Proper access controls and encryption are seen as important for securing data and services in cloud environments.