In the Internet of Things with cloud assistance, recovery of ciphertext under diverse data sets is a critical challenge (IoT). The older systems for retrieving ciphertext are not capable of supporting encrypted data sets that are diverse, which results in reduced security risks and computational requirements to some degree.The focus of our research is to address this issue by presenting a transparent technique for retrieving ciphertext that is programming language agnostic, platform independent, and compatible with various types of data sets.. By integrating our suggested access and integration middleware in a unique way with a pre-existing encrypted cloud database system, we have created the retrieval mechanism. This middleware facilitates queries across different platforms and programming languages in the database system. The proposed plan includes a data integration strategy for diverse databases, aiming to facilitate cross-database searches of encrypted cloud data sets. Effective data sharing between various IoT apps and various database systems is made possible by the provided ciphertext retrieval solution. By preventing malevolent hackers, we demonstrate that the system ensures data security. Thorough testing demonstrates that our design is effective and practicable.