CLOUD DATA LAYERED PRIVACY AND SECURITY ARCHITECTURE

Computer Engineering

The cloud owner may be concerned about managing knowledge while keeping its utility and maintaining the security plan. We developed a layer-based architecture to reduce the overhead at the cloud service provider for adding security to each document and then transferring it to the client. This method protects the sensitive document's security and the privacy of its data. The proposed approach categorises data according to its sensitivity to achieve a balance between data security and utility. Different algorithmic schemes are required for various categories' perseverance. We discovered a cloud-based distributed environment in which data is classified into four levels of sensitivity: public, confidential, secret, and top secret, with each level requiring a different approach to ensure data security. We built a provision to detect the malfunctioning node that is responsible for data leakage at the most sensitive layers, such as secret and top secret data. Finally, experimental analysis is used to evaluate the layer-based approach's performance. The experimental results show that when processing 200 documents with a total size of 20 MB, the point taken (in ms) for public, confidential, secret, and top secret data is 437, 2239, 3142, 3900 for public, confidential, secret, and top secret data, respectively, when the documents are distributed among different users.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.