# An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)
## 6 Privacy Threats in the IIoT
Several issues influence the choice of a suitable location, most notably the nature and characteristics of the industrial activity carried out by the enterprise (e.g., extraction of raw materials or cultivation, production of intermediate or final products, provision of a service) and the associated costs of production, balanced with the cost of physical distribution to the target markets and the importance of proximity to customers as a basis for establishing competitive advantages over rival suppliers. Some locations may be preferred for their production advantages, for example, due to lower labor costs, the availability of investment subsidies, the supply of skilled workers, and parallel access to relevant facilities. Similarly, many service activities must be located in and around the customer's catchment areas. At the same time, some suppliers may be interested in operating alongside their core customers to synchronize production input requirements better. 3. On the other hand, the high price of distribution, especially in the case of bulky products with low added value or the international context, the imposition of tariffs and quotas on imports creates essential requirements for an appropriate position oriented to the market, but one that is also protected from the prying eyes of the competition and espionage. A low-cost technical solution that adds protection to the IoT environment was proposed by [PERSON] et al. [53] by embedding in GPS devices privacy software that ensures that IoT devices and their administrators have fine-grained control over releasing their position. In addition, the safety of the data ingested from numerous IIoT devices is related directly to other data security and privacy concerns from insecure cloud infrastructures, web applications, and mobile environments. As a result, it is necessary to follow data transmission security rules in each domain so that there are measures in place to identify the path from whose device the data is transmitted. It is also critical to eliminate irrelevant data and data without relation to the actual operation. Although compliance with numerous regulatory structures becomes complex when multiple data is stockpiled, the infrastructure must be carried out with separate services for controlling the data linked to interconnected devices and environments [86]. 4. Profiling. The threat lies in violating privacy and monitoring persons or individuals in their association with specific industrial processes. Accordingly, it may refer to identifying, collecting, and processing information derived from services or reference models, which may constitute an industrial secret. Characteristics of the ongoing concern for protecting IoT devices from profiling threats are efforts to enhance privacy in RFID devices [87; 88], sensor systems [89], wireless networking [90; 91], and identity management [88; 92] technologies, to enhance privacy or encryption technology [93; 94]. 5. Hardware Lifecycle. Industrial devices are, in most cases, remanufactured and reused. Therefore, sensitive information, device logs, and data stored in memories or storage media will likely fall into the wrong hands with unpredictable consequences [95]. For the specific threats, the industry should draw up and implement a uniform policy for the management of industrial equipment, as well as apply techniques of total deletion [96] of the data locally or in distributed information processing systems which include first and second sites, which may consist of corresponding information production and copying sites [97]. Also, IIoT hardware addresses security and privacy threats from inadequate testing and a lack of upgrading processes [98]. IIoT device manufacturers, while willing to produce various devices, do not consider the security and upgrading concerns of said devices because they require extensive testing and, therefore, additional costs. These malfunctions increase the possibility of security and privacy attacks when released into a real-world industrial infrastructure [96]. 6. Inventory attack.