# An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)
## 5 Industrial Privacy  
According to [PERSON] et al. (2016), privacy in the context of the IIoT refers to an individual's right to control and influence the collection, retention, and disclosure of their personal information. Privacy becomes a significant concern in the IIoT environments due to the extensive collection, processing, and sharing of data, which raises serious issues related to its privacy implications ([PERSON] et al., 2016). In addition to personal privacy, data protection is a crucial challenge faced by businesses in various industries, particularly when handling sensitive information such as financial data. Industrial privacy refers to the protection of sensitive information and trade secrets within the context of industrial and manufacturing sectors. It involves safeguarding confidential data, proprietary processes, intellectual property, and other critical business information from unauthorized access, theft, or misuse by competitors, employees, or external entities. Regulatory authorities emphasize good data management practices to enhance customer profiling, identify potential opportunities, and conduct risk management analysis. Privacy and data protection need to be monitored throughout the client lifecycle, and this extends to multiple use cases in the industrial sector, such as data exchange for customer protection, improved credit risk assessment, and secure claims management ([PERSON] et al., 2016; [PERSON] et al., 2016). While leaders in industries like manufacturing or heavy industry may not prioritize data privacy as highly as other sectors, the digital age is changing this perspective. Data privacy has become a significant risk for any industry that deals with potentially sensitive data concerning customers, employees, and business partners ([PERSON] et al., 2016). The complexity of the IIoT ecosystem and the need for regulatory compliance at both the hardware and software levels pose significant challenges in protecting these systems. In the IIoT ecosystem, where multiple systems interact with the physical world, the uncontrolled arrangement of states can lead to dangerous conditions. This necessitates multi-layered security approaches and encryption techniques to address privacy concerns. The convergence of computer and communication technologies, decentralization of processing, and distributed analysis in industrial activities further complicates the concept of privacy and gives rise to new challenges ([PERSON] et al., 2016; [PERSON] et al., 2016). In this context, the need to protect industrial privacy becomes crucial. Existing regulations and standardization efforts are often insufficient to provide a robust shield against emerging threats. Innovative solutions, such as a central Software-Defined Network (SDN) control layer, deterministic scheduling, and lightweight encryption, can offer improved privacy-preserving IIoT standardization systems ([PERSON] et al., 2016). Furthermore, it is essential to continuously update and adapt the existing standards and systems used in industrial technologies to enhance privacy and security ([PERSON], 2016; [PERSON], 2016). The surveillance of key infrastructures and the control of certification and identity play significant roles in maintaining privacy in the IIoT environment [72; 73]. Sharing best practices, recommendations, and knowledge for security maintenance and continuous improvement is also vital in ensuring privacy in the evolving IIoT landscape [74]. Industrial privacy focuses on safeguarding confidential, proprietary, and sensitive information related to industrial operations, such as trade secrets and intellectual property. Compliance with data protection laws, such as the GDPR, is crucial in collecting and processing personal data in industrial settings [75]. It involves implementing technical and organizational measures to protect sensitive information, training employees on their responsibilities, and regularly reviewing and updating privacy policies and procedures to address emerging threats and risks.