Network Construction Using Overlapping Histogram under Local Differential Privacy

Cuicui Niu, Zhengzhi Pan, Wuchao Shi, Hai Liu
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Abstract

Network construction is beneficial to extract global structural information from vector data. However, node-link information is easy to bring the problem of privacy leakage in network construction. Thus, we provided node-link preserving in network construction via overlapping histogram under local differential privacy. First, we present the general model of network construction using overlapping histogram under local differential privacy. Second, we present algorithm of random perturbation-linking in network construction via overlapping histogram to preserve node-link. Finally, our theoretical and experimental results show that the proposed scheme can achieve the tradeoff between node-link protection and network utility. The proposed scheme provides a basic method against node-link leakage in network construction via overlapping histogram.
局部差分隐私下基于重叠直方图的网络构建
网络构造有利于从矢量数据中提取全局结构信息。然而,节点链路信息在网络建设中容易带来隐私泄露问题。因此,我们在局部差分隐私下通过重叠直方图提供了网络构建中的节点-链路保留。首先,我们提出了局部差分隐私下使用重叠直方图构建网络的一般模型。其次,提出了利用重叠直方图构建网络的随机扰动连接算法,以保持节点连接。最后,理论和实验结果表明,该方案可以实现节点链路保护和网络效用之间的平衡。该方案通过重叠直方图提供了一种防止网络构建中节点链路泄漏的基本方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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