论文标题
医学互联网上的隐私威胁
Privacy Threats on the Internet of Medical Things
论文作者
论文摘要
医学互联网（IOMT）是攻击的常见目标 - 损害了患者数据和医疗保健基础结构。虽然开发了具有隐私增强技术和服务（宠物）来减轻传统隐私问题，但如果不识别特定的威胁模型，则不能应用它们。因此，我们的立场是必须研究由相对较新且未经忽视的IOMT域创建的新威胁陆地。我们在IOMT中简要讨论特定的隐私威胁和威胁参与者。此外，我们认为需要确定IOMT威胁格局的隐私政策差距。
The Internet of Medical Things (IoMT) is a frequent target of attacks -- compromising both patient data and healthcare infra-structure. While privacy-enhanced technologies and services (PETS) are developed to mitigate traditional privacy concerns, they cannot be applied without identifying specific threat models. Therefore, our position is that the new threat land-scape created by the relatively new and underexplored IoMT domain must be studied. We briefly discuss specific privacy threats and threat actors in IoMT. Furthermore, we argue that the privacy policy gap needs to be identified for the IoMT threat landscape.
