Mind the Trust Gap !
Ensure data provenance
Continuous assurance
Figure 3-1 . Steps for resilience .
Resilience in dynamic situations can only be achieved when the digital twin system has enough knowledge of its operating situation and the risk appetite of its stakeholders to make confident , automated choices about how to respond to alarm stimuli or unfamiliar situations . Better than simply stopping when uncertain , these systems need to be able to make accurate decisions about the minimum system degradation required to remain safe while maintaining maximum residual operation and business yield .
The first step is to enable the flow of information between components and between Digital Twin systems so that they can share their operating and environmental data . This means designing systems with an expectation that they will be able to connect with the outside world and employing application and data storage architectures that are compatible with this . Enabling communications includes the following :
• Move away from the assumption of large-scale isolation based on network perimeter security and move toward zero trust architectures
• Use strong encapsulation , loose coupling , and service architectures .
Dynamic situational awareness
Once data is flowing it is necessary to make sure it is actually fit for use . Focusing on provenance is important here , answering questions such as : “ where did this data come from ?”; “ how was it produced ?”; and “ is it still valid ?”. Enabling data provenance will require the following :
• Enable portable digital identity
• Enable data integrity at the application and processing layer , not just at the network edge
Journal of Innovation 63