一种低耗能的数据融合隐私保护算法

An Energy-Saving Privacy-Preserving Data Aggregation Algorithm

物联网中的隐私保护是实际应用中要解决的关键问题之一,作为物联网组成部分的无线传感器网络,希望在进行精确数据融合的同时,又能保护个人的隐私.文中提出了一种新的低能耗无线传感器网络数据融合隐私保护算法ESPART.一方面算法依靠数据融合树型结构本身的特性,减少数据通信量;另一方面算法分配随机时间片,避免碰撞.同时限制串通数据范围,降低数据丢失对精确度的影响.仿真结果显示,相比于SMART算法,ESPART可以在有效保护数据隐私的前提下,花费与TAG算法相同的时间和较少的数据通信量,得到精确的数据融合结果.

Privacy preserving plays an important role in application of the Internet of Things（IoT）.As a part of the IoT,Wireless Sensor Networks（WSNs） should provide the privacy preserving in data aggregation.This paper presents a novel energy-saving private-preserving aggregation scheme（ESPART） for WSNs,which uses characteristic of the data aggregation tree structure to reduce communication overhead,assigns the random time pieces to nodes to avoid collision,and limits the scope of collusion data to reinforce data_loss resilience.Compared with the SMART algorithm,the simulation results show that ESPART can preserve data privacy,get accurate data aggregation results while taking the same epoch duration as TAG,and have less communication overhead.