Using Digital Twins to help define IOT security monitoring strategies.
This is a proof of concept that covers the stages required to build up an ontologically defined Digital Twin, Reference Models and Instance Data within Neo4j before integration within the MS Azure Digital Twin Platform. It shows how it can support cyber security monitoring and investigation.
Scenario
A near future scenario describing the monitoring of the interaction between connected vehicles such as Car, eScooters and eBikes and City Street Infrastructure for security events and cyber attacks.
The Theme for this scenario comes from a research project and presentation.
Data
Event and security event data is derived from the different assets directly or from cloud based City Infrastructure management systems and vehicle Backend systems.
Solution
Using data models, threat models, digital twins and event data derived from asset transactions, interactions and normal operations.
The scenario also use the AWS IOT Things Graph Data Model (TDM) domain constructs to examine how data is used to support investigation and monitoring.
Smart City Cyber Security 