A big number of users’ healthy data are necessary for the Internet of Things (IoT) healthcare. Therefore, the institutions, which have access to more data can provide better medical services such as more accurate diagnosis. However, privacy is often a bottleneck for IoT healthcare. Users often refuse to provide their health data based on privacy considerations. To balance the requirement of data collection and personal privacy, a lot of privacy-preserving data collection schemes are provided. A very important work of these schemes is to produce a secret position for every user to store her/his data, which is named secure arrangement. A novel secure arrangement method is proposed in this paper, which is based on matrix eigenvalue calculation. Compared with the current secure arrangement methods, the proposed method is more robust and efficient, which drives the proposed scheme to be more suitable for repeated aggregation. Then we use an example to illustrate how to use the proposed arrangement method to construct a privacy data collection protocol. We prove the proposed scheme is secure and efficient in security analysis and efficiency analysis.

物联网 (IoT) 医疗保健需要大量用户的健康数据。因此，拥有更多数据的机构可以提供更好的医疗服务，例如更准确的诊断。然而，隐私通常是物联网医疗保健的瓶颈。用户通常基于隐私考虑拒绝提供他们的健康数据。为了平衡数据收集和个人隐私的需求，提供了许多保护隐私的数据收集方案。这些方案的一个非常重要的工作是为每个用户产生一个秘密位置来存储她/他的数据，称为安全安排。本文提出了一种新的基于矩阵特征值计算的安全排列方法。与当前的安全安排方法相比，所提出的方法更加健壮和高效，这使得所提出的方案更适合重复聚合。然后我们通过一个例子来说明如何使用所提出的排列方法来构建隐私数据收集协议。我们在安全分析和效率分析中证明了所提出的方案是安全有效的。