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A Survey on Privacy Enhanced Role Based Data Aggregation via Differential Privacy

机译:基于差异性隐私的基于隐私增强角色的数据聚合调查

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Data is getting generated at a very high rate through different sources like social networking sites and applications, banking and transaction applications, business and commercial websites etc. To improve the system, provide better services or to get some insights or pattern from data, analysis is required. The sensitive information is exposed to adversary when the data is given or released for analysis. Protecting the sensitive information of an individual is very crucial. If the information is leaked it can compromise the individual depending upon the sensitivity of information. In this paper, we have discussed data aggregation and different privacy models. What is differential privacy and how guarantees privacy and is achieved. Over the years how differential privacy is used with or in various scenarios to preserve data privacy. Also proposed a role based mechanism for data aggregation via differential privacy guarantee.
机译:通过社交网站和应用程序,银行和交易应用程序,商业和商业网站等不同来源以很高的速度生成数据。为了改进系统,提供更好的服务或从数据中获得一些见解或模式,分析是需要。当提供或发布数据进行分析时,敏感信息就会暴露给对手。保护个人的敏感信息非常关键。如果信息泄漏,则可能会根据信息的敏感性而危害个人。在本文中,我们讨论了数据聚合和不同的隐私模型。什么是差异隐私,以及如何保证隐私并实现。多年来,如何在各种情况下或在各种情况下使用差异隐私来保护数据隐私。还提出了一种基于角色的机制,用于通过差分隐私保证进行数据聚合。

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