异方差加噪下差分隐私流数据发布一致性优化算法

孙岚; 康健; 吴英杰; 张立群

doi:10.16511/j.cnki.qhdxxb.2018.26.045

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清华大学学报（自然科学版） ›› 2019, Vol. 59 ›› Issue (3) : 203-210. DOI: 10.16511/j.cnki.qhdxxb.2018.26.045

计算机科学与技术

异方差加噪下差分隐私流数据发布一致性优化算法

孙岚, 康健, 吴英杰, 张立群

作者信息 +

Consistency optimization algorithm for differential privacy streaming data publication with non-uniform private budgets

SUN Lan, KANG Jian, WU Yingjie, ZHANG Liqun

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文章历史 +

摘要

现有基于树结构的差分隐私流数据统计发布方法未能充分利用统计查询可能存在的特定分布规律而进一步提升发布流数据的精度，为此，该文提出滑动窗口下基于异方差加噪的差分隐私流数据发布算法。首先动态构建滑动窗口内流数据对应的差分隐私区间树；其次根据统计查询分布规律计算树节点的覆盖概率，据此对树节点的隐私预算及树结构参数进行调整，以实现异方差加噪；最后，针对异方差加噪后区间树节点值可能不满足一致性约束的问题，设计实时的一致性调节策略。实验结果表明：与同类算法相比，该算法具有较高的查询精度及算法效率。

Abstract

Most existing methods for differential privacy streaming data statistical release based on tree structures cannot take advantage of the special probability distributions in statistical queries. This study presents an algorithm that further boosts the accuracy of the released streaming data for differential privacy streaming data publication with non-uniform private budgets using sliding windows. After constructing the differential privacy range tree for the streaming data within the sliding window, the algorithm calculates the coverage probability of the tree nodes according to the probability distribution of the statistical queries and then adds non-uniform noise to the tree nodes based on the adjusted privacy budget of the tree nodes and a tree structure parameter. Finally, several real-time adjustment policies are designed to ensure that the node values on any path from the root to the leaves satisfy a consistency constraint. Tests show that the algorithm guarantees better statistical query accuracy and has higher algorithm efficiency than traditional algorithms.

导出引用

孙岚, 康健, 吴英杰, 张立群. 异方差加噪下差分隐私流数据发布一致性优化算法[J]. 清华大学学报（自然科学版）. 2019, 59(3): 203-210 https://doi.org/10.16511/j.cnki.qhdxxb.2018.26.045

SUN Lan, KANG Jian, WU Yingjie, ZHANG Liqun. Consistency optimization algorithm for differential privacy streaming data publication with non-uniform private budgets[J]. Journal of Tsinghua University(Science and Technology). 2019, 59(3): 203-210 https://doi.org/10.16511/j.cnki.qhdxxb.2018.26.045

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基金

国家自然科学基金资助项目（61300026）；福建省自然科学基金资助项目（2017J01754，2018J01797）

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收稿日期	出版日期
2018-07-06	2019-03-15
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2019-03-19

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