论文标题
AABAC - 基于自动属性的基因组数据访问控制
AABAC -- Automated Attribute Based Access Control for Genomics Data
论文作者
论文摘要
Covid-19危机证明了尖端基因组学研究的潜力。但是，这些敏感信息的隐私是基因组学研究人员重要关注的领域。当前的安全模型使得难以创建灵活和自动化的数据共享框架。这些模型还增加了添加或撤销访问的复杂性，而无需与数据发布者联系。在这项工作中，我们研究了基于数据网络（NDN）的基因组数据基于自动属性的访问控制（AABAC）模型。 AABAC确保数据本身，而不是存储位置或传输通道，提供自动数据无效，并在保持控制访问能力的同时自动化密钥检索和数据验证。我们表明，与NDN结合使用时，AABC为基因组学研究提供了安全，灵活的组合。
The COVID-19 crisis has demonstrated the potential of cutting-edge genomics research. However, privacy of these sensitive pieces of information is an area of significant concern for genomics researchers. The current security models makes it difficult to create flexible and automated data sharing frameworks. These models also increases the complexity of adding or revoking access without contacting the data publisher. In this work, we investigate an automated attribute-based access control (AABAC) model for genomics data over Named Data Networking (NDN). AABAC secures the data itself rather than the storage location or transmission channel, provides automated data invalidation, and automates key retrieval and data validation while maintaining the ability to control access. We show that AABC when combined with NDN provide a secure and flexible combination for work with genomics research.
