Risk access control model for Hadoop

Traditional access control models are hard to restrain the malicious behavior of authorized users. Accord-ingly, Hadoop platform with this access control model is difficult to prevent the risk of privacy disclosure. A model of access control based on risk was proposed. A risk function of information...

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Main Authors: Jia-shuai LI, Chang-gen PENG, Yi-jie ZHU, Hai-feng MA
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2016-01-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00015
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author Jia-shuai LI
Chang-gen PENG
Yi-jie ZHU
Hai-feng MA
author_facet Jia-shuai LI
Chang-gen PENG
Yi-jie ZHU
Hai-feng MA
author_sort Jia-shuai LI
collection DOAJ
description Traditional access control models are hard to restrain the malicious behavior of authorized users. Accord-ingly, Hadoop platform with this access control model is difficult to prevent the risk of privacy disclosure. A model of access control based on risk was proposed. A risk function of information entropy was designed from users’ his-torical behavior based on setting the tags of subject and object. Furthermore, the tracking chain of risk was built, which could adjust the users’ access authority dynamically according to the risk value and its volatility. Combining with access token and risk supervision, the risk access control mechanism for big data privacy protection was real-ized, which could be applied to enhance the security of Hadoop Kerberos protocol. Finally, the experiment result shows that the model can constrain the authorized users’ access behavior effectively.
format Article
id doaj-art-944bab26614146a1bbae1a3c94e51def
institution Kabale University
issn 2096-109X
language English
publishDate 2016-01-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-944bab26614146a1bbae1a3c94e51def2025-01-15T03:04:18ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2016-01-012465259542959Risk access control model for HadoopJia-shuai LIChang-gen PENGYi-jie ZHUHai-feng MATraditional access control models are hard to restrain the malicious behavior of authorized users. Accord-ingly, Hadoop platform with this access control model is difficult to prevent the risk of privacy disclosure. A model of access control based on risk was proposed. A risk function of information entropy was designed from users’ his-torical behavior based on setting the tags of subject and object. Furthermore, the tracking chain of risk was built, which could adjust the users’ access authority dynamically according to the risk value and its volatility. Combining with access token and risk supervision, the risk access control mechanism for big data privacy protection was real-ized, which could be applied to enhance the security of Hadoop Kerberos protocol. Finally, the experiment result shows that the model can constrain the authorized users’ access behavior effectively.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00015risk access controlHadoopprivacy protectioninformation entropybig data
spellingShingle Jia-shuai LI
Chang-gen PENG
Yi-jie ZHU
Hai-feng MA
Risk access control model for Hadoop
网络与信息安全学报
risk access control
Hadoop
privacy protection
information entropy
big data
title Risk access control model for Hadoop
title_full Risk access control model for Hadoop
title_fullStr Risk access control model for Hadoop
title_full_unstemmed Risk access control model for Hadoop
title_short Risk access control model for Hadoop
title_sort risk access control model for hadoop
topic risk access control
Hadoop
privacy protection
information entropy
big data
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00015
work_keys_str_mv AT jiashuaili riskaccesscontrolmodelforhadoop
AT changgenpeng riskaccesscontrolmodelforhadoop
AT yijiezhu riskaccesscontrolmodelforhadoop
AT haifengma riskaccesscontrolmodelforhadoop