Zhang Kejia, Han Qilong, Cai Zhipeng, Yin Guisheng
College of Computer Science & Technology, Harbin Engineering University, Harbin 150001, China.
Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA.
Sensors (Basel). 2017 Feb 7;17(2):300. doi: 10.3390/s17020300.
Recently, data privacy in wireless sensor networks (WSNs) has been paid increased attention. The characteristics of WSNs determine that users' queries are mainly aggregation queries. In this paper, the problem of processing aggregation queries in WSNs with data privacy preservation is investigated. A Ring-based Privacy-Preserving Aggregation Scheme (RiPPAS) is proposed. RiPPAS adopts ring structure to perform aggregation. It uses pseudonym mechanism for anonymous communication and uses homomorphic encryption technique to add noise to the data easily to be disclosed. RiPPAS can handle both s u m ( ) queries and m i n ( ) / m a x ( ) queries, while the existing privacy-preserving aggregation methods can only deal with s u m ( ) queries. For processing s u m ( ) queries, compared with the existing methods, RiPPAS has advantages in the aspects of privacy preservation and communication efficiency, which can be proved by theoretical analysis and simulation results. For processing m i n ( ) / m a x ( ) queries, RiPPAS provides effective privacy preservation and has low communication overhead.
近年来，无线传感器网络（WSNs）中的数据隐私受到了越来越多的关注。WSNs的特性决定了用户的查询主要是聚合查询。本文研究了在WSNs中处理具有数据隐私保护的聚合查询问题。提出了一种基于环的隐私保护聚合方案（RiPPAS）。RiPPAS采用环结构进行聚合。它使用假名机制进行匿名通信，并使用同态加密技术对容易泄露的数据添加噪声。RiPPAS可以处理sum()查询和min()/max()查询，而现有的隐私保护聚合方法只能处理sum()查询。对于处理sum()查询，与现有方法相比，RiPPAS在隐私保护和通信效率方面具有优势，这可以通过理论分析和仿真结果得到证明。对于处理min()/max()查询，RiPPAS提供了有效的隐私保护，并且通信开销较低。
