  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.
