On Analysis of Security and Elasticity Dependency in IIoT Platform Services

Rohit Raj, Hong‐Linh Truong · 2021

Modern IIoT (Industrial Internet of Things) systems rely on highly decomposed platform services that are distributed across the edge and cloud. Security attacks in these systems can cause indirect and unwanted impacts on the elasticity of platform services. These impacts can often manifest across subsystems and not necessarily remain localized. However, there is a lack of techniques to identify and model cross-layered, cross-system concrete dependencies between specific security attacks and their corresponding elasticity impacts. This paper presents a novel framework SEDAICO that can model the elasticity relationship among IIoT platform services due to a security attack. Secondly, the framework supports the developer to identify concrete dependency between specific security attacks and the corresponding impacts on the elasticity of the platform services. We further illustrate our work with experiments and evaluate the framework through a real-world example.

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