**1. Introduction**

Industrial revolution 4 (IR 4.0) utilizes technology in different aspects. As per the world economic forum, three principle technology drivers in the industrial production: connectivity, intelligence and flexible automation where big data is one of the value drivers and IoT is one of the scale-ups enablers [1]. To summarize one scenario of the embedded technology in the industry is the implementation of IoT systems. Internet of Things (IoT) starts with a collection of sensors used to collect information from the surrounded environment. For example, a temperature sensor used to collect the atmosphere temperature during the day by taking three reads for six months for the purpose of studying climate change. The collected data will be sent to central storage such as cloud computing technology to get the advantage of accessing the data anywhere and anytime. There is a need for a network connective that allows distributed components to be connected. Mostly the collected data is a type of big-date as they might collect temperature reading from a different site in the globe and for a long time might be years. That big-data requires some analysis where the traditional analytical system might not manage to absorb its huge records, therefore; there is a need to utilize the features of artificial intelligence filed in data-science. This example shows how several technologies are used in order to be used in analyzing the big-data collected from different sites.

As there are distributed systems and the internet connection is used, cybersecurity becomes a critical aspect, especially when there are some economic benefits. There are many security principles which might be tackled in order to enhance the cybersecurity of the systems, however, access control is one of the major aspects as there will be a need to restrict the access to the system as there is a distributed environment when it comes to IoT deployment. One of the optimal access control models to be used in this case is attribute-based access control model (ABAC) [1, 2].

This chapter introduces intelligent attribute-based access control model tested in the cloud computing environment. Section 2 discusses the introduced enhancements to the basic ABAC model. Section 3 illustrates how inelegant is introduced in the proposed ABAC. Finally, an empirical experiment is demonstrated in Section 4 where OpenStack (cloud environment) is used to discuss the efficiency of the proposed approach.
