The umbrella term industry 4.0 stands for the ongoing integration of modern smart technologies in industrial settings. The implementation of the technologies it covers has been an ongoing process for a decade. However, there is a huge variation in companies adaptation of these technologies and progress is slow. This master’s thesis is conducted in collaboration with Cybercom Group and aims to investigate what is keeping the adaptation of Industry 4.0 technologies from taking of. This study was mainly tackled through qualitative interviews with nine different Swedish industry companies. In these interviews their opinions and thoughts on the current state of their factory in contrast to the industry 4.0 vision were discussed. This study reveals that limitations such as high costs on IoT sensors, unsure return of investment, battery constraints on IoT devices, unstable availability on IoT devices connected to the cloud and a general lack of knowledge hampers the adaptation of Industry 4.0 technologies. Finally we provide a price approximation for the monthly cost of streaming data to the three biggest cloud providers (AWS, Microsoft Azure and Google Cloud) for a use case of 8 sensors monitoring a blasting machine. This case shows that the price models of AWS and Google cloud is better suited for smaller cases than Azures while both AWS and Azures price models outperforms Google clouds price model at larger scales.

Internet of Things (IoT) is an ecosystem comprises CT (Communication Technology),IT (Information Technology) and sometime OT (Operational Technologies) wheredifferent machines and devices can interact with each other and exchange useful datawhich can be processed using different IoT applications to take decisions and performrequired actions. Number of IoT devices and IoT networks are growing exponentially.Security is of utmost importance and without proper security implementation, IoTNetworks with billions of devices will be hacked and used as botnets which can createdisaster. The new IoT use cases cannot be realized using the current communicationtechnologies due to the QoS (Quality of Service) and business requirements. 5Gnetwork are designed keeping IoT use cases in mind and with the development of 5Gnetwork, it will be easier to implement more secured IoT network and enable differentIoT use cases which are not feasible today.To build the future IoT networks with 5G, it’s important to study and understand 5Gsecurity features. Security is perceived as one of the most important considerationwhile building IoT solutions and to implement 5G network for IoT solutions require anoverall understanding of 5G security features. In the thesis, work have been done toidentify the gap in the current research with respect to 5G security features anddescribe 5G features that will enhance IoT security. After identifying key 5G securityfeatures, the implementation of the identified 5G security features will be describedwith the 5G based smart grid and smart factory use cases. The key finding is howdifferent 5G security capabilities secure IoT communication and another importantfinding is that not all security capabilities are applicable to all IoT use cases. Hence,security capabilities to be used based on the 5G use case requirement.