The current study examined 1055 stolen data products across 40 vendors on the Open and Dark Web to determine whether different product- and vendor-level behaviors predicted vendors’ trustworthiness as reflected in their product price point. Understanding the mechanisms that convey trust in the underground marketplace is crucial as it could help law enforcement target serious actors and disrupt the larger marketplace. Findings suggest the online stolen data market may resemble an uninformative cost condition where buyers are unable to accurately differentiate credible sellers due to the obscure nature of signaling behaviors.

中文翻译：

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了解在线被盗数据市场中的信任标记：检查供应商相对于产品价格点的信号行为

当前的研究检查了开放网络和暗网上 40 个供应商的 1055 个被盗数据产品，以确定不同的产品和供应商级别的行为是否可以预测供应商的可信度（如其产品价格点所反映）。了解地下市场中传递信任的机制至关重要，因为它可以帮助执法部门瞄准严重的行为者并扰乱更大的市场。调查结果表明，在线被盗数据市场可能类似于一种无信息成本状况，由于信号行为的模糊性，买家无法准确地区分可信的卖家。