  Thanks to rapid technological developments, new innovative solutions and
practical applications of the Industrial Internet of Things (IIoT) are being
created, upgrading the structures of many industrial enterprises. IIoT brings
the physical and digital environment together with minimal human intervention
and profoundly transforms the economy and modern business. Data flowing through
IIoT feed artificial intelligence tools, which perform intelligent functions
such as performance tuning of interconnected machines, error correction, and
preventive maintenance. However, IIoT deployments are vulnerable to
sophisticated security threats at various levels of the connectivity and
communications infrastructure they incorporate. The complex and often
heterogeneous nature of chaotic IIoT infrastructures means that availability,
confidentiality and integrity are difficult to guarantee. This can lead to
potential mistrust of network operations, concerns about privacy breaches or
loss of vital personal data and sensitive information of network end-users.
This paper examines the privacy requirements of an IIoT ecosystem in industry
standards. Specifically, it describes the industry privacy dimensions of the
protection of natural persons through the processing of personal data by
competent authorities for the prevention, investigation, detection or
prosecution of criminal offences or the execution of criminal penalties. In
addition, it presents an overview of the state-of-the-art methodologies and
solutions for industrial privacy threats. Finally, it analyses the privacy
requirements and suggestions for an ideal secure and private IIoT environment.
