We describe an architecture for a decentralised data market for applications in which agents are incentivised to collaborate to crowd-source their data. The architecture is designed to reward data that furthers the market's collective goal, and distributes reward fairly to all those that contribute with their data. We show that the architecture is resilient to Sybil, wormhole, and data poisoning attacks. In order to evaluate the resilience of the architecture, we characterise its breakdown points for various adversarial threat models in an automotive use case.

翻译：我们描述了一种用于去中心化数据市场的架构，该架构适用于智能体被激励协作贡献其众包数据的应用场景。该架构旨在奖励能够推动市场集体目标实现的数据，并将奖励公平分配给所有数据贡献者。我们证明了该架构能够抵御女巫攻击、虫洞攻击和数据投毒攻击。为了评估该架构的鲁棒性，我们在汽车应用场景中刻画了该架构在不同对抗威胁模型下的崩溃点。