面向时序数据发布的隐私保护方法研究

于东; 康海燕

doi:10.11959/j.issn.1000-436x.2015305

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面向时序数据发布的隐私保护方法研究

学术通信 | 更新时间：2024-06-05

- 面向时序数据发布的隐私保护方法研究
- Privacy protection method on time-series data publication
- 通信学报 2015年36卷第Z1期页码：243-249
- 作者机构：
  
  北京信息科技大学信息管理学院，北京 100192
- 作者简介：
  
  [ "于东（1989-），男，安徽蚌埠人，北京信息科技大学硕士生，主要研究方向为物流信息安全。" ]
  [ "康海燕[通信作者]（1971-），男，河北石家庄人，北京信息科技大学教授、博士生导师，主要研究方向为信息系统安全和网络隐私保护。" ]
- 基金信息：
  
  北京市社会科学基金资助项目(15JGB099);北京市优秀人才培养基金资助项目(2013E005007000001);国家自然科学基金资助项目(61370139);教育部人文社会科学青年基金资助项目(11YJC870011)
- DOI：10.11959/j.issn.1000-436x.2015305
  中图分类号： TP309
- 网络首发：2015-11，
  
  纸质出版：2015-11-25
- 稿件说明：
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于东, 康海燕. 面向时序数据发布的隐私保护方法研究[J]. 通信学报, 2015,36(Z1):243-249.

Dong YU, Hai-yan KANG. Privacy protection method on time-series data publication[J]. Journal on Communications, 2015, 36(Z1): 243-249.
于东, 康海燕. 面向时序数据发布的隐私保护方法研究[J]. 通信学报, 2015,36(Z1):243-249. DOI： 10.11959/j.issn.1000-436x.2015305.

Dong YU, Hai-yan KANG. Privacy protection method on time-series data publication[J]. Journal on Communications, 2015, 36(Z1): 243-249. DOI： 10.11959/j.issn.1000-436x.2015305.

摘要

针对动态数据（时序数据）提出一种抽样过滤技术的差分隐私保护模型及评价机制。首先，利用固定抽样法对原始时序数据进行抽样，非抽样数据直接发布；其次，对抽样数据采取差分隐私保护机制进行加噪；然后，运用Kalman过滤技术对保护后的抽样数据进行预测修正；最后，通过互信息评价机制对不同抽样间隔下的数据进行评价。通过实验证明抽样过滤机制在安全性和实用性上达到最优的平衡性。

Abstract

A differential privacy model was proposed based on the sampling filtering and the mechanism of evaluation.Firstly

fixed sampling method was used to sample the original data and the non-sampling data be published directly.Secondly

for the sampling date

utilize the differential privacy mechanism to add the noise.Then

use Kalman to correct the sampling date.Finally

use the mutual information to evaluate data under different sampling intervals.Through the experiment

it is proved that the mechanism can achieve a good balance between the practicality and protective.

关键词

Keywords

references

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