  Operating securely over 5G (and legacy) infrastructure is a challenge. In
non-cooperative networks, malicious actors may try to decipher, block encrypted
messages, or specifically jam wireless radio systems. Such activities can
disrupt operations, from causing minor inconvenience, through to fully
paralyzing the functionality of critical infrastructure. While technological
mitigation measures do exist, there are very few methods capable of assessing
the socio-economic impacts from different mitigation strategies. This leads to
a lack of robust evidence to inform cost-benefit analysis, and thus support
decision makers in industry and government. Consequently, this paper presents
two open-source simulation models for assessing the socio-economic impacts of
operating in untrusted non-cooperative networks. The first focuses on using
multiple non-cooperative networks to transmit a message. The second model
simulates a case where a message is converted into alternative plain language
to avoid detection, separated into different portions and then transmitted over
multiple non-cooperative networks. A probabilistic simulation of the two models
is performed for a 15 km by 15 km spatial grid with 5 untrusted non-cooperative
networks and intercepting agents. The results are used to estimate economic
losses for private, commercial, government and military sectors. The highest
probabilistic total losses for military applications include US$300, US$150,
and US$75, incurred for a 1, 3 and 5 site multi-transmission approach,
respectively, for non-cooperative networks when considering 1,000 texts being
sent. These results form a framework for deterministic socio-economic impact
analysis of using non-cooperative networks and secure texting as protection
against radio network attacks. The simulation data and the open-source codebase
is provided for reproducibility.
