SparkAC: Fine-Grained Access Control in Spark for Secure Data Sharing and Analytics-Reference-Cited by-同舟云学术

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SparkAC: Fine-Grained Access Control in Spark for Secure Data Sharing and Analytics

Published:2023-03-01 Issue:2 Volume:20 Page:1104-1123
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Xue Tao¹^ORCID,Wen Yu¹^ORCID,Luo Bo²^ORCID,Li Gang³^ORCID,Li Yingjiu⁴^ORCID,Zhang Boyang¹,Zheng Yang¹,Hu Yanfei¹,Meng Dan¹

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA

3. Centre for Cyber Security Research and Innovation, Deakin University, Geelong, VIC, Australia

4. Department of Computer and Information Science, University of Oregon, Eugene, OR, USA

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

Ripple University Blockchain Research Initiative

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/10068314/09707647.pdf?arnumber=9707647

Reference93 articles.

1. Enhancing MongoDB with Purpose-Based Access Control

3. Towards a Unifying Attribute Based Access Control Approach for NoSQL Datastores

4. Efficient enforcement of action-aware purpose-based access control within relational database management systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Certificate-Free Cross-Domain Fine-Grained Access Control Mechanism for Industrial Internet;HUM-CENT COMPUT INFO;2024

2. Efficient and Secure Data Storage for Future Networks: Review and Future Opportunities;IEEE Access;2024

3. IBMESR: Towards Next-Generation Big Data Security with An Integrated Blockchain Model for Efficient, Scalable, and Robust Operations;2023-10-12

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