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A Sticky Policy Framework for Big Data Security

机译:大数据安全的粘性策略框架

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摘要

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.
机译:大数据安全性是大数据计算和服务应用程序中最热门的研究主题之一,因为缺乏研究结果以及用于提供足够大数据安全性的成熟安全技术和解决方案。大数据安全性面临着有效执行安全策略以保护敏感数据的需求。为了满足这一需求,本文提出了一种安全策略解决方案。首先,提出了一种与实现无关的细粒度策略元模型,以从基础技术中抽象出来并更好地重用。然后,采用了粘性策略框架,并详细讨论了策略执行和评估。最后,将医疗场景用于评估策略建模和实施过程。

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