A novel privacy- and integrity-preserving approach for multidimensional data range queries in two-tiered wireless sensor networks

Abstract

To address the problem of storage nodes in wireless sensor networks being vulnerable to attack, this article proposes a new range query protocol, WQuery, based on multidimensional data privacy and integrity protection. To ensure the privacy of multidimensional data, the WQuery protocol encodes multidimensional sensing data and user query requests based on a bucket-partitioning scheme and sequential encryption mechanism at the sensor node and sink node. Therefore, the storage nodes cannot sense the real value of sensing data and query requests under the premise of correctly executing the request. To ensure the integrity of the multidimensional data query results, WQuery includes an integrity verification scheme based on the new tree-to-destination data structure. The scheme translates the actual query scope of a user request into a matched set of bucket labels and verifies the integrity of query results through the tree-to-destination data structure. Simulation results show that the tree-to-destination scheme is flexible, easy to implement, and highly secure, thereby effectively reducing energy consumption.

EPCT: An Efficient Privacy-Preserving and Collusion-Resisting Top- k Query Processing in WSNs

“…Additionally, some previous studies have focused on the privacy-preserving range queries [8,11,32] and MAX/MIN queries [15,16] in WSNs. Because the query types are different, the ideas of these works cannot be applied to achieve the secure top-k queries in WSNs.…”