Multi-agent simulations for virus propagation in D2D 5G+ networks

Abstract

In this paper we present results for an extended class of multi-agent simulation models for malware propagation in device-to-device 5G networks, first exhibited in citeAgentBasedAAMAS. The models allow to understand and analyze mobile malware spreading dynamics in highly dynamical networks and also to assess the effectiveness of a proposed counter measure policy for reversing attacks and securing the system. Our main simulation studies identify critical thresholds for maximal malware propagation and isolate two distinguished regimes for malware survival and extermination depending on a variety of parameters. We further predict via simulations the malware spreading velocities, depending on device density and speed, as well as the percentage of counter agents that have to be introduced into the network for malware elimination. We complement these findings and state also an associated theoretical study that highlights the key parameters of our agent-based model and exhibit certain linear relationships between them [1].