摘要
在无线传感网络的研究中,保护隐私数据聚集算法是一个关键问题.设计高效的具有隐私保护功能的数据聚集算法,降低通信带宽,提高网络的寿命和安全性是保护私隐数据聚集研究中的热点问题.国内外现有的保护隐私数据聚集算法,除PEQ(Privacy-preserving Scheme for Exact Query Evaluation)算法外,其它算法大多是根据不同的统计数据类型来设计相应的保护隐私的数据聚集算法,这些算法只能聚集某一种数据,功能单一,应用起来具有一定的局限性.同时,PEQ算法的通信带宽和计算量都比较大.针对上述问题,设计了一种基于数据混淆的数据汇集算法.该算法通过在数据聚集前加入混淆数据,聚集结束后删除混淆数据,来达到保护隐私的目的.与现有的其它方案相比,该方案计算和通信开销较少,并且一次可以聚集多种统计数据.
In the field of wireless sensor networks,PDA（Privacy-preserving Data Aggregation） is a hot issue.The design of effective PDA algorithm,w hich aims at saving communication bandw idth and improving the longevity and security of the netw orks at the same time,is the crux of research in data aggregation.According to bibliography of PDA algorithms at home and abroad,most of the designs（excluding PEQ,a Privacy-preserving Scheme for Exact Query Evaluation） are based on the difference of statistical data types,w hich has a draw back that those algorithms could only aggregate a single type of data,thus limiting their field of application.Moreover,the PEQ algorithm is perplexed by the relatively large overhead of communication bandw idth and computation pow er.In order to solve these problems,a PDA algorithm based on data confusion is proposed.This algorithm achieves the goal of privacy preservation by importing confusion data before the process of data aggregation and cut them out after it.Compared to other algorithms,this one consumes less computation pow er,uses less communication bandw idth,and can aggregate several kinds of statistical data at a time.
出处
《小型微型计算机系统》
CSCD
北大核心
2013年第7期1603-1606,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金重大研究计划项目(90818005)资助
国家自然科学基金项目(60903217
60773032)资助
中国博士后科学基金项目(20090450701)资助
关键词
无线传感网
数据聚集
隐私保护
秘密混淆
wireless sensor network
data aggregation
privacy-preserving
secret confusion
