Hadoop cloud platform user dynamic access control model

In order to solve the problem that Hadoop cloud platform could not dynamically control user access request,a Hadoop cloud dynamic access control model based on user behavior assessment (DACUBA) was proposed.The model first collected the user instruction sequence in real time and the user behavior co...

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Main Authors: Hong-yu YANG, Ling-xian MENG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-09-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017142/
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author Hong-yu YANG
Ling-xian MENG
author_facet Hong-yu YANG
Ling-xian MENG
author_sort Hong-yu YANG
collection DOAJ
description In order to solve the problem that Hadoop cloud platform could not dynamically control user access request,a Hadoop cloud dynamic access control model based on user behavior assessment (DACUBA) was proposed.The model first collected the user instruction sequence in real time and the user behavior contour was obtained by parallel command sequence learning (PCSL).Then the global K model was established by using the forward profile,the subsequent sequence was classified and the classification results were evaluated.The evaluation results were combined with the improved Hadoop access control mechanism to make the cloud platform users’ access rights change dynamically with their own behaviors.Experimental results demonstrate that the model algorithm is effective and the dynamic access control mechanism is feasible.
format Article
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institution Kabale University
issn 1000-436X
language zho
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publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-0f5903f058a64ef18c35ca4a1043bd072025-01-14T07:12:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-09-013891759711965Hadoop cloud platform user dynamic access control modelHong-yu YANGLing-xian MENGIn order to solve the problem that Hadoop cloud platform could not dynamically control user access request,a Hadoop cloud dynamic access control model based on user behavior assessment (DACUBA) was proposed.The model first collected the user instruction sequence in real time and the user behavior contour was obtained by parallel command sequence learning (PCSL).Then the global K model was established by using the forward profile,the subsequent sequence was classified and the classification results were evaluated.The evaluation results were combined with the improved Hadoop access control mechanism to make the cloud platform users’ access rights change dynamically with their own behaviors.Experimental results demonstrate that the model algorithm is effective and the dynamic access control mechanism is feasible.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017142/cloud platformHadoopuser behavioraccess controlparallel command sequence learning
spellingShingle Hong-yu YANG
Ling-xian MENG
Hadoop cloud platform user dynamic access control model
Tongxin xuebao
cloud platform
Hadoop
user behavior
access control
parallel command sequence learning
title Hadoop cloud platform user dynamic access control model
title_full Hadoop cloud platform user dynamic access control model
title_fullStr Hadoop cloud platform user dynamic access control model
title_full_unstemmed Hadoop cloud platform user dynamic access control model
title_short Hadoop cloud platform user dynamic access control model
title_sort hadoop cloud platform user dynamic access control model
topic cloud platform
Hadoop
user behavior
access control
parallel command sequence learning
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017142/
work_keys_str_mv AT hongyuyang hadoopcloudplatformuserdynamicaccesscontrolmodel
AT lingxianmeng hadoopcloudplatformuserdynamicaccesscontrolmodel