Adversary-Augmented Simulation to evaluate client-fairness on HyperLedger Fabric

This paper presents a novel adversary model specifically tailored to distributed systems, with the aim to asses the security of blockchain technologies. Building upon literature on adversarial assumptions and capabilities, we include classical notions of failure and communication models to classify and bind the use of adversarial actions. We focus on the effect of these actions on properties of distributed protocols. A significant effort of our research is the integration of this model into the Multi-Agent eXperimenter (MAX) framework. This integration enables realistic simulations of adversarial attacks on blockchain systems. In particular, we have simulated attacks violating a form of client-fairness on HyperLedger Fabric.