GuardSpark++: Fine-Grained Purpose-Aware Access Control for Secure Data Sharing and Analysis in Spark

Author:

Xue Tao1,Wen Yu1,Luo Bo2,Zhang Boyang1,Zheng Yang1,Hu Yanfei1,Li Yingjiu3,Li Gang4,Meng Dan1

Affiliation:

1. Chinese Academy of Sciences, China

2. The University of Kansas, USA

3. Singapore Management University, USA

4. Deakin University, Australia

Publisher

ACM

Reference77 articles.

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2. [n.d.]. Apache Beam.https://beam.apache.org/. [n.d.]. Apache Beam.https://beam.apache.org/.

3. [n.d.]. Apache Hadoop.http://hadoop.apache.org/. [n.d.]. Apache Hadoop.http://hadoop.apache.org/.

4. [n.d.]. Apache Ranger.https://hortonworks.com/apache/ranger/. [n.d.]. Apache Ranger.https://hortonworks.com/apache/ranger/.

5. [n.d.]. Apache Sentry. https://sentry.apache.org/. [n.d.]. Apache Sentry. https://sentry.apache.org/.

Cited by 4 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. The Queen's Guard: A Secure Enforcement of Fine-grained Access Control In Distributed Data Analytics Platforms;Annual Computer Security Applications Conference;2023-12-04

2. SparkAC: Fine-Grained Access Control in Spark for Secure Data Sharing and Analytics;IEEE Transactions on Dependable and Secure Computing;2023-03-01

3. The Overview of Big Data Access Control;Computer Science and Application;2022

4. Dynamic and Scalable Enforcement of Access Control Policies for Big Data;Proceedings of the 13th International Conference on Management of Digital EcoSystems;2021-11

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