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

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.

References in corpus (5)

• Understanding the spreading patterns of mobile phone viruses
• Risk perception in epidemic modeling
• Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method
• A Novel Online Incremental Learning Intrusion Prevention System
• IoT Vulnerability Data Crawling and Analysis

Cited by in corpus (1)

• A Survey on Resilience in the IoT: Taxonomy, Classification and Discussion of Resilience Mechanisms