Designing industrial systems that make use of digital technology is now possible thanks to the Industrial Internet of Things (IIoT). Previously, this was not practical. The Industrial Internet of Things, sometimes known as RFID, is a crucial part of the IIoT. It enables industrial operators to identify things and link IoT time-series data with the recognized objects. Additionally, by using the cloud service, businesses might interchange data collected by IoT devices, facilitating information sharing and supporting them in making crucial production decisions. You could more effectively protect sensitive business affairs if there were a way to restrict who might see Internet of Things data stored in the cloud. For time-series IoT data, traditional cryptographic access control techniques have several issues concerning efficiency and key leakage. It is so since this kind of data was not intended to be used with conventional cryptographic access control systems. You are going to be expected to develop a secured industrial data access control system for the cloud-based Internet of Industrial Things (IIoT) as a component of this endeavor. Partners in the scheme are given the opportunity to restrict accessibility to their Internet of Things data in very specific ways using ciphertext-policy attribute-based encryption, or CP-ABE. The strategy makes use of a hybrid cloud infrastructure so that users may confidently trust the cloud service with time-consuming and resource-intensive CPABE chores without worrying about the security of their data. Importantly, the plan addresses the problem of key leakage by introducing an entirely novel form of data privacy for IoT devices, known as “item-level data protection.” Through the use of a number of various encryption and optimization techniques, you can achieve these goals. In order to ensure that the design is trustworthy and risk free, assessments of performance take into account both the system’s real functioning and in-depth computer modeling.