# An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)
## 3 IIoT and Privacy-Preserving Architectures
This local communication ensures that sensitive data stays within the trusted boundaries of the industrial environment, enhancing privacy and preventing potential security breaches. Additionally, with the advent of advanced IIoT wireless technologies like 5G, organizations can further enhance network isolation and security, creating dedicated and isolated network environments that offer heightened privacy, control, and protection for sensitive data through features such as Network Slicing, Enhanced Security Mechanisms, Private 5G Networks, and Network Function Virtualization (NFV). Secure and private communication between processes and applications within the industrial environment helps maintain data privacy and prevents potential security breaches. 3. Adoption of Virtual Reality (VR) [16] for remote operations has become dominant for industrial applications regarding training and commissioning. Devices that combine a screen, camera, and microphone have become more sophisticated, and machine suppliers more often collaborate with their customers or service engineers through VR. The ability to commission machines remotely has made companies realize that being on-site is only sometimes necessary. The machine supplier can work with the customer through an augmented reality headset, such as a HoloLens. The customer sees virtual reality instructions and maintenance data to perform the necessary tasks, while the machine supplier receives a live feed of what the customer sees. As companies employ VR for training, maintenance, and collaboration purposes, it is crucial to ensure that privacy safeguards are in place to protect sensitive information shared through these immersive technologies. 4. Use of machine data to improve customer relations [17; 18]. Connected machines have opened new ways to use machine data and improve customer relationships. The above statement highlights the impact of interconnected devices and the data they generate on enhancing customer relationships. Specifically, connected machines and the data they generate enable organizations to leverage the machine data in various ways, leading to improved customer relationships. By utilizing machine data for proactive maintenance, predictive analytics, customized offerings, and enhanced support, organizations can deliver better customer experiences, increase customer satisfaction, and strengthen their relationships with the customers. It is not only interesting for large companies but also for smaller companies to make use of their data. Due to the increase in connected machines, the number of companies with access to critical machine data has also increased tremendously. It is a big challenge for many companies to discover new possibilities. The use of data is not only essential to improve and optimize companies' machines but also to create a better long-term relationship with customers. Machine data can, for example, be used to prevent equipment failures by predicting and performing machine maintenance before a fault occurs. In this way, machine downtime can ultimately be reduced [19]. Ensuring data security and using anonymization techniques when analyzing and utilizing machine data can help protect customer privacy. 5. Machine learning [20]. Machine learning is a branch of AI, where systems must be able to learn automatically and improve from experience without being programmed by humans. Applying machine learning can be difficult because preprocessing to label and normalize many data takes time. Unsupervised learning or self-learning methodologies create higher-scale automation [21]. This means that human intervention is no longer needed since the data from the device is automatically sent to the algorithm. Thus, machine learning detects patterns of normal usage; therefore, after some time, it also tracks unusual patterns. For example, a machine creates several terms, but when a part of the machine fails, new patterns are created with donations from the usual pattern.