A Sticky Policy Framework for Big Data Security
A Sticky Policy Framework for Big Data Security
复制标题
大数据安全的粘性政策框架
DOI：
10.1109/bigdataservice.2015.71
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Younghee Park
中科院分区：
文献类型：
--
作者：
Shuyu Li;Zhang Tao;J. Gao;Younghee Park
大数据安全是大数据计算和服务应用中最热门的研究课题之一，因为缺乏研究成果和成熟的安全技术和解决方案来提供足够的大数据安全。大数据安全面临着有效实施安全策略以保护敏感数据的需求。针对这一需求，本文提出了一种安全策略解决方案。首先，提出了一个与实现无关的细粒度策略元模型，以抽象底层技术并提高重用性。在此基础上，采用了粘性策略框架，并详细讨论了策略的执行和评估.最后，一个医疗保健方案是用来评估政策建模和执行的过程。
Big data security is one of the hottest research topics in big data computing and service applications, because of the lack of research results and mature security technologies and solutions to provide adequate big data security. Big data security faces the need to effectively enforce security policies to protect sensitive data. Trying to satisfy this need, a security policy solution is presented in the paper. Firstly, an implementation independent and fine-grained policy meta-model is proposed for abstraction from underlying technologies and better reuse. Then, a sticky policy framework is adopted with policy enforcement and evaluation discussed in detail. Finally, a healthcare scenario is used to evaluate the process of policy modeling and enforcement.
DOI：
10.1016/j.jss.2012.12.025
发表时间：
2013-09
期刊：
J. Syst. Softw.
影响因子：
--
作者：
M. Ryan
通讯作者：
M. Ryan