IoT Trustworthiness is a Journey and NOT a Project
some of the internal systems and sub-systems of the plant may be upgraded, IoT-enabled, and in
some cases totally replaced.
Moreover, some of the IoT data produced and consumed by the IoT systems at the plants may
themselves have long lifecycles. For instance, data may be needed for predictive maintenance
analytics or may become evidence in the case of industrial accidents and thus become subject to
Electronic Discovery (eDiscovery) and legal holds.
Electronic Discovery 9 10 is the process of identifying, preserving, collecting, processing, searching,
reviewing and producing Electronically Stored Information 11 that may be relevant to a civil,
criminal or regulatory matter, and legal holds.
Figure 2 illustrates an example of the lifecycle of an IoT system:
Figure 2: Trustworthiness during the lifecycle of an IoT system
The lines in this diagram represent the Current, Minimum and Target states of IoT
Trustworthiness as they progress during that lifecycle. These states are described in detail in the
next section.
Once these states are assessed and defined, the organization can implement methods and
processes that can raise the Current level of trustworthiness to reach the Minimum level. They
can, if so purposed and planned, exceed it to reach the Target State.
Concerns about trustworthiness continue throughout the full lifecycle of the system:
The minimum requirements may increase over time
- Legal and regulatory frameworks may change and/or become more stringent
- New industry standards may come into effect
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www.edrm.net/glossary/electronic-discovery-e-discovery/
www.law.cornell.edu/rules/frcp The Federal Rules of Civil Procedure (amended December 1st, 2016) Rules 26 and 34
www.edrm.net/glossary/esi-electronically-stored-information/
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IIC Journal of Innovation