Authors: Marwa Salayma

Published on: October 02, 2023

Impact Score: 8.27

Arxiv code: Arxiv:2310.01689

Summary

• What is new: The introduction of a dynamic threat modelling approach tailored for the continuously changing IoT environments, contrasting with traditional static attack graphs.
• Why this is important: Existing threat models do not account for the dynamic and ever-changing nature of IoT environments, where devices and subsystems frequently join or leave.
• What the research proposes: A new threat modelling approach using dynamic topology and attack graphs, capable of adapting to changes in IoT environments to accurately identify attack paths.
• Results: The implementation with Neo4j showcased efficient and rapid modifications of the attack graphs in response to environmental changes, demonstrating viability for dynamic IoT settings.

Technical Details

Technological frameworks used: Graph Database Management Tool (GDBM)

Models used: Dynamic topology and attack graphs

Data used: Example scenario based on healthcare systems

Potential Impact

IoT security providers, healthcare IoT solutions, and companies providing dynamic network environments could benefit or need to adapt.

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