摘要
针对目前相关性时间序列差分隐私保护方法没有统一的攻击模型,且不同方法的隐私保护强度无法进行横向比较和度量的问题,设计一种攻击模型。由于这些方法加入的噪声是独立同分布的,且相关性时间序列可以看作短时平稳过程,根据信号处理中滤波的原理,设计一个线性滤波器作为攻击模型以滤除部分噪声。实验结果表明,该攻击模型有效,并为各方法的隐私保护强度提供了统一的度量。
The current differential privacy preserving methods on correlated time series were not designed by protecting against a specific attack model, and the privacy level of them couldn＇t be measured. Therefore, an attack model was put forward to solve the above problems. Since the noise series added by these methods was independent and identically dis- tributed, and the time series could be seen as a short-time stationary process, a linear filter was designed based on filtering theory, in order to filter out the noise series. Experimental results show that the proposed attack model is valid, and can work as a unified measurement for these methods.
出处
《通信学报》
EI
CSCD
北大核心
2017年第5期172-181,共10页
Journal on Communications
基金
国家自然科学基金资助项目(No.41671443
No.41371402)
武汉市应用基础研究计划基金资助项目(No.2016010101010024)~~
关键词
差分隐私
隐私保护
相关性时间序列
攻击模型
differential privacy, privacy preserving, correlated time series, attack model
