Data Governance Framework for Industrial Internet of Things

Industrial Internet of Things (IIoT) is a major element for industrial systems future. Since IIoT applications are the natural evolution of the IoT, cybersecurity is the main consideration related to IIoT adoption. Because of the similar basic architecture, IIoT inherits some security challenges from IoT. IIoT is not standing alone application. It depends on other applications such as: Cloud network and Big Data. In Cloud, the devices can be connected with each other at anytime from anywhere. Big Data application plays a very important role in storing, analyzing, security, and safety of data. This research aims to design a data governance framework for IIoT. Internet of Things (IoT) governance data security is depended on the good governance of the Cloud Computing and Big Data governance. IIoT security is very important because devices are interconnected, and if there is any hack for one of the devices, it will transfer the problem to the rest of the connected devices. The final design is to use the Encryption algorithm such as Data Encryption Standard (DES) to secure the communications between the devices. Also, the authentication algorithm (two-factor method) has been used to prove the identity of the devices and to mitigate the communication between IIoT devices. Big Data that transferred between devices may be stored or retrieved from the data centers (Cloud) to solve the storage limitation problem of the devices. The results of the practical implementation show an improvement in the data security, integrity, and accuracy. The design proves more safety in dealing with devices and in executing their duties.