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A Sticky Policy Framework for Big Data Security

机译:大数据安全的粘性政策框架

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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:大数据安全是大数据计算和服务应用中最热门的研究主题之一,因为缺乏研究结果和成熟的安全技术和解决方案,以提供足够的大数据安全性。大数据安全面临需要有效地强制执行安全策略以保护敏感数据。试图满足这种需求,纸质中提出了安全策略解决方案。首先,提出了一种独立和细粒度的政策元模型,用于从底层技术和更好的重用。然后,通过策略执法和评估进行了详细讨论了粘性政策框架。最后,使用医疗服务方案来评估策略建模和执行的过程。

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