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Attribute-based Access Control Implementation Targeting Big Data Access Management Tools

Attribute-based Access Control Implementation Targeting Big Data Access Management Tools
针对大数据访问管理工具的基于属性的访问控制实施
批准号:
479593-2015
负责人:
ZincirHeywood, Nur
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
This is a proposal for joint work in the general area of Computer Security as it needs to scale to Big Data. One of the challenges in that area is access management - who has access to what information in a complex data system? The Snowden incident and others like it indicate the general need for scalable, user-friendly solutions that would enable data owners to set up access policies that would allow users to access the data they need, and only that data. This is challenging: on the one hand, services-oriented, virtualized and enterprise cloud architectures are creating unprecedented access control management complexity and risk. On the other hand, organizational and regulatory requirements are dictating increasingly fine-grained access control policies. The emergence of "NoSQL" databases and related "big data" technologies and implementations are further driving the need for dramatically improved access control. Within the NoSQL database market, Accumulo is differentiated on the basis of uniquely providing what it describes as "fine grained, cell based" access control. We will, in this project, research and implement a solution that will enable defining cell-level access rules using the de facto standard XACML language. The solution will position Devera Logic as a unique partner to Accumulo providing this functionality. The research will also advance the progress of the PhD student working on it
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