Access control model for multi-source heterogeneous data in big data environment

The big data platform is open and shared, but with the increasing amount of data and the complex and variable user access context, the RBAC model is difficult to meet the fine-grained and flexible access control in big data environment. To solve this problem, an access control model for multi-source...

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Main Authors: SU Qiuyue, CHEN Xingshu, LUO Yonggang
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2019-02-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2019009
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author SU Qiuyue
CHEN Xingshu
LUO Yonggang
author_facet SU Qiuyue
CHEN Xingshu
LUO Yonggang
author_sort SU Qiuyue
collection DOAJ
description The big data platform is open and shared, but with the increasing amount of data and the complex and variable user access context, the RBAC model is difficult to meet the fine-grained and flexible access control in big data environment. To solve this problem, an access control model for multi-source heterogeneous data in big data platform is proposed. The model dynamically determines role permissions based on attributes and builds a hierarchical structure based on data groups to achieve simple management of data attributes. The model is formally defined, and the implementation and workflow in Hadoop platform are described. The experimental results show that the performance overhead of the proposed scheme is relatively small.
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spelling doaj.art-516d9c5e65b9404ea6565e442bcfe2282022-12-22T03:14:17ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2019-02-0151788610.11959/j.issn.2096-109x.2019009Access control model for multi-source heterogeneous data in big data environmentSU Qiuyue0CHEN Xingshu1LUO Yonggang2College of Computer Science, Sichuan University, Chengdu 610065, ChinaCollege of Cybersecurity, Sichuan University, Chengdu 610065, ChinaCybersecurity Research Institute, Sichuan University, Chengdu 610065, ChinaThe big data platform is open and shared, but with the increasing amount of data and the complex and variable user access context, the RBAC model is difficult to meet the fine-grained and flexible access control in big data environment. To solve this problem, an access control model for multi-source heterogeneous data in big data platform is proposed. The model dynamically determines role permissions based on attributes and builds a hierarchical structure based on data groups to achieve simple management of data attributes. The model is formally defined, and the implementation and workflow in Hadoop platform are described. The experimental results show that the performance overhead of the proposed scheme is relatively small.http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2019009big data platformaccess controldynamic authorizationdata group hierarchy
spellingShingle SU Qiuyue
CHEN Xingshu
LUO Yonggang
Access control model for multi-source heterogeneous data in big data environment
网络与信息安全学报
big data platform
access control
dynamic authorization
data group hierarchy
title Access control model for multi-source heterogeneous data in big data environment
title_full Access control model for multi-source heterogeneous data in big data environment
title_fullStr Access control model for multi-source heterogeneous data in big data environment
title_full_unstemmed Access control model for multi-source heterogeneous data in big data environment
title_short Access control model for multi-source heterogeneous data in big data environment
title_sort access control model for multi source heterogeneous data in big data environment
topic big data platform
access control
dynamic authorization
data group hierarchy
url http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2019009
work_keys_str_mv AT suqiuyue accesscontrolmodelformultisourceheterogeneousdatainbigdataenvironment
AT chenxingshu accesscontrolmodelformultisourceheterogeneousdatainbigdataenvironment
AT luoyonggang accesscontrolmodelformultisourceheterogeneousdatainbigdataenvironment