Evaluating Security of IIoT Testbeds
architecture follows the 3-tier architecture
diagram: the edge corresponds to the retail
store; the platform tier hosts the video
analytics platform; and the retail
applications
by
the
retailer
and
Brierley+Partners correspond to the
business tier. The edge tier includes three
trust boundaries, representing the off-the-
shelf cameras, the NEC digital signage, and
the edge gateway device, which will require
different security policies, and have different
ownerships.
The TCSG team worked with this testbed
team to refine the security evaluation, and
to create a threat model. This early
understanding of risk helped the team to
better understand the implementation
requirements. In this testbed, privacy of the
costumer was critical and confidentiality
measures will be implemented along with
the security measures.
Smart Factory Machine Learning
The goal of the Smart Factory Machine
Learning testbed is to increase energy
efficiency, availability, and lifespan of high
volume CNC (Computer Numerical Control)
manufacturing production systems. This
testbed, led, by Aingura IIoT® (formerly
Plethora IIoT) and Xilinx®, provides the basis
for development and evaluation of machine
learning techniques for time critical
predictive maintenance.
This security profile of the testbed included
a description of the threats by using STRIDE.
The results of the STRIDE analysis used to
rank the security threats are shown in Figure
4. This figure classifies the threats by using
four levels (Very High, High, Medium and
Low) for each trust boundary. The last
column in Figure 4 contains the risk of
physical attacks against the endpoints.
These classifications include the judgements
of the Testbed team.
Figure 4: Ranking of security threats
IIC Journal of Innovation
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