ABSTRACT
Data sharing in the cloud is operated by favorable scalable trends in the field. A cloud provides flexibility to store a large amount of variable data, ensuring the emergence of a promising and fortunate technique for the users. However, the growth rate of data opportunities often initiates a necessity of analyzing and defining the authorization ability for the users' access and convenience. Sharing the data with the third party also invites intruders and prying eyes. They may alter or modify the data according to their observance. This leads to getting loopholes in user accessibility, validation, and affects information utility conventions. This chapter proposes Senso Scale that focuses on division scaling of data over the sensitivity parameter, possessing the user authorization and accessibility factor. It also computes the technical depth of analyzing sensitivity range effectiveness measures on 0–100 evaluation slabs. Furthermore, performance analysis and experimental results depict data overhead reduction and a practical slab-based privacy-preserving solution “to provide maximum privacy” by integrating variable privacy measures.
