Cyber Resilience in IoT network: Methodology and example of assessment through epidemic spreading

TL;DR

This paper introduces a novel methodology for assessing IoT cyber resilience by modeling epidemic spreading, highlighting the benefits of a resilience-based approach over traditional risk-based methods.

Contribution

It presents a new mathematical model and simulation framework for evaluating IoT resilience through epidemic spreading analysis, emphasizing a shift from risk to resilience focus.

Findings

Resilience-based approach improves malware outbreak management.

Mathematical model effectively simulates epidemic spreading in IoT.

Simulation results demonstrate benefits of resilience-focused strategies.

Abstract

Cyber Resilience is an important property of complex systems and is important consideration in developing specific IoT applications. This work aims at introducing a novel approach to assess IoT resilience adopting the risk perception in network based epidemic spreading approach. In particular IoT has been considered a network of devices where the probability of infection and interactions (communication), needs to be balanced in order to reduce the malware outbreack while maintaining the network functionalities at an acceptable level. The mathematical model and the simulation results reveal the benefit of a shift from a risk-based to a resilience based approach to threat management in IoT.