WiP: AABAC - Automated Attribute Based Access Control for Genomics Data


연구 분야: Verification



학회: SACMAT '22: Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies


초록

The COVID-19 crisis and the subsequent vaccine development have demonstrated the potential of cutting-edge genomics research. However, the privacy of these sensitive pieces of information is an area of significant concern for genomics researchers. The current security models make it difficult to create flexible, automated, and secure data-sharing frameworks. These models also increase the complexity of adding or revoking access. 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. When combined with NDN, we show that AABAC offers a secure and flexible access control framework.


Author Profile
David Reddick

Tennessee Tech University Cookeville TN USA

Tunisia
Author Profile
Justin Presley

Tennessee Tech University Cookeville TN USA

Tunisia
Author Profile
Frank Alex Feltus

Clemson University Clemson SC USA

Seychelles

📄 논문 정보

발행 연도 2022년
인용수 4
출판 국가 Tunisia, Seychelles
사이트 ACM
좋아요 수 0

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