Correlation of biological and computer viruses through evolutionary game theory
Dimitris Kostadimas, Kalliopi Kastampolidou, Theodore Andronikos
TL;DR
The paper addresses whether evolutionary game theory can bridge insights between computer viruses and biological viruses by comparing the Virlock ransomware to the bacteriophage φ6. It models Virlock dynamics with a payoff matrix for ransom payment versus non-payment and discusses φ6 as a canonical biological analog in EGT contexts. The authors compare operational traits across domains, presenting cross-domain recovery tables and payoff reasoning to highlight shared principles such as replication, mutation, host interaction, and evasion. The work aims to broaden defensive perspectives and inspire cross-domain simulations and strategy transfer to improve interventions against both computer and biological threats.
Abstract
Computer viruses have many similarities to biological viruses, and their association may offer new perspectives and new opportunities in the effort to tackle and even eradicate them. Evolutionary game theory has been established as a useful tool for modeling viral behaviors. This work attempts to correlate a well-known virus, namely Virlock, with the bacteriophage $\phi6$. Furthermore, the paper suggests certain efficient strategies and practical ways that may reduce infection by Virlock and similar such viruses.
