Secure and Efficient Cluster-Based Range Query Processing in Wireless Sensor Networks

Yingzi Shan,Lu Chen,Liming Zhou

doi:10.1155/2018/9140937

Abstract

In wireless sensor networks, preserving privacy is more important and has attracted more attentions. Protecting data and sensor privacy while collecting and computing query results is a challenge. In cluster-based sensor networks, when a user queries a sensitive data, the adversaries can monitor original node or gain the data in cluster node. To deal with this problem, we propose a secure and efficient scheme for cluster-based query processing in wireless sensor networks. To preserve location privacy of sensors, we use anonymity method to confuse adversaries. To protect the sensitive data, we use prefix membership verification method to prevent adversaries from gaining sensitive messages collected by sensor nodes. And we analyze the security and communication cost. The results show that our scheme can efficiently protect privacy in query processing.

Highlights

Wireless sensor networks have been widely deployed in various applications, such as monitoring environment, collecting temperature data, and gaining information of battlefield
In order to preserve privacy query processing, we propose a secure and efficient cluster-based query processing scheme to address this problem in wireless sensor networks
In order to protect privacy, we propose a secure and efficient query processing scheme to prevent an adversary from obtaining the sensitive data or finding the user’s interests and location of sensor node in cluster-based sensor networks

Summary

Introduction

Wireless sensor networks have been widely deployed in various applications, such as monitoring environment, collecting temperature data, and gaining information of battlefield. A target region transformation technique [2], range query [3,4,5,6], and top-k query [7, 8] have been well addressed These schemes are not suitable for cluster-based query processing in wireless sensor networks. Based on the above discussions, in this paper, we propose a novel cluster-based privacy preserving query processing in wireless sensor networks. If a user wants to gain and query information from the Journal of Electrical and Computer Engineering cluster-based sensor network, we will use the anonymity method and the prefix membership verification scheme [9, 10] to protect the sensitive data against adversaries.

Related Work

Network and Adversary Models

Secure and Efficient Cluster-Based Query Processing Scheme

Performance Analysis

Conclusions