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Dynamic anonymisation techniques analogy for multiple releases of data

机译:动态匿名化技术类似于多次发布数据

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摘要

Data publication has become important due to its inherent research and analysis value. Data is often published by the service provider in the anonymised form for achieving confidentiality. Most of the anonymised techniques generally considered for anonymisation are static in nature which considers only fixed one time data release. In dynamic environment where data keeps evolving with time, static techniques may result in poor data analysis or re-identification risk. In this paper, various dynamic anonymisation techniques for multiple releases of data have been analysed that can help the researchers or the service providers to decide the best technique for the underlying dynamic context depending on the criterion to be optimised.
机译:数据发布由于其固有的研究和分析价值而变得重要。数据通常由服务提供商以匿名形式发布以实现机密性。通常考虑用于匿名化的大多数匿名化技术本质上都是静态的,其仅考虑固定的一次数据发布。在数据随时间变化的动态环境中,静态技术可能会导致不良的数据分析或重新识别风险。在本文中,已经分析了用于多种数据释放的各种动态匿名化技术,这些技术可以帮助研究人员或服务提供商根据要优化的标准为底层动态上下文确定最佳技术。

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