Abstract
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 queries and queries, while the existing privacy-preserving aggregation methods can only deal with queries. For processing 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 queries, RiPPAS provides effective privacy preservation and has low communication overhead.
Highlights
A Wireless Sensor Network [1,2,3,4] (WSN) comprises a large number of sensor nodes deployed in the monitoring area
We focus on data privacy of wireless sensor networks (WSNs) in this paper
For sum() queries, we compare Ring-based Privacy-Preserving Aggregation Scheme (RiPPAS) with three other aggregation methods: (1) the SMART
Summary
A Wireless Sensor Network [1,2,3,4] (WSN) comprises a large number of sensor nodes deployed in the monitoring area. To know the location of wildlife, poachers want to access the data of sensor nodes deployed in the wild for wildlife monitoring Such application scenarios have a strong need for data privacy protection [11]. Characteristics of WSNs determine that the processing of aggregation queries should be done in-network rather than by the sink collecting the raw data of each node. The data privacy of some of these schemes is attacked, some of these schemes have high communication overhead and low efficiency, and all of these schemes can not deal with min()/max () queries. Compared with the existing schemes, RiPPAS has three advantages: (1) It provides robust data privacy protection; (2) It is very communication-efficient;. Proposing a ring-based privacy-preserving aggregation scheme (RiPPAS).
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