  This paper presents a new multi-agent model for simulating malware
propagation in device-to-device (D2D) 5G networks. This model allows to
understand and analyze mobile malware-spreading dynamics in such highly
dynamical networks. Additionally, we present a theoretical study to validate
and benchmark our proposed approach for some basic scenarios that are less
complicated to model mathematically and also to highlight the key parameters of
the model. Our simulations identify critical thresholds for "no propagation"
and for "maximum malware propagation" and make predictions on the
malware-spread velocity as well as device-infection rates. To the best of our
knowledge, this paper is the first study applying agent-based simulations for
malware propagation in D2D.

Networking and Internet Architecture;Probability