AABAC -- Automated Attribute Based Access Control for Genomics Data
David Reddick, Justin Presley, F. Alex Feltus, Susmit Shannigrahi

TL;DR
This paper proposes AABAC, an automated attribute-based access control model over Named Data Networking, enhancing privacy, flexibility, and automation in sharing sensitive genomics data.
Contribution
It introduces a novel AABAC model integrated with NDN that secures data, automates access management, and simplifies data sharing in genomics research.
Findings
AABAC secures data directly rather than storage or transmission.
The model enables automated data invalidation and key management.
Combining AABAC with NDN enhances security and flexibility.
Abstract
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.
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Taxonomy
TopicsCaching and Content Delivery · Privacy-Preserving Technologies in Data · Cooperative Communication and Network Coding
