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Policy enforcement for big data security

机译:大数据安全的策略实施

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Security and privacy of big data becomes challenging as data grows and more accessible by more and more clients. Large-scale data storage is becoming a necessity for healthcare, business segments, government departments, scientific endeavors and individuals. Our research will focus on the privacy, security and how we can make sure that big data is secured. Managing security policy is a challenge that our framework will handle for big data. Privacy policy needs to be integrated, flexible, context-aware and customizable. We will build a framework to receive data from customer and then analyze data received, extract privacy policy and then identify the sensitive data. In this paper we will present the techniques for privacy policy which will be created to be used in our framework.
机译:随着数据的增长和越来越多的客户端,大数据的安全性和隐私变得具有挑战性。大规模数据存储正成为医疗保健,业务部门,政府部门,科学努力和个人的必要性。我们的研究将侧重于隐私,安全性以及我们如何确保大数据被保障。管理安全策略是我们框架将处理大数据的挑战。隐私政策需要集成,灵活,上下文知识和可自定义。我们将建立一个框架来从客户接收数据,然后分析收到的数据,提取隐私策略,然后识别敏感数据。在本文中,我们将介绍将在我们的框架中使用的隐私政策技术。

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