基于桶划分的两层传感网隐私保护Top-k查询

Bucket Partition Based Privacy-Preserving Top-k Query Processing in Two-Tiered Wireless Sensor Networks

提出了一种用于两层传感网的基于桶划分的隐私保护Top-k查询处理(BPTQ)方法.BPTQ通过引入桶划分策略和加密技术,能够确保感知数据在存储、通信及查询处理过程中的隐私安全性.理论分析和实验结果表明,该方法能够保护感知数据的隐私安全,且与现有方法相比具有更高的能耗效率.

A bucket partition based privacy-preserving top-k query processing（ BPTQ） in two-tiered wireless sensor networks was proposed. BPTQ can protect the privacy of sensing data during the storage,communication and query processing by introducing bucket partitioning scheme and encryption technique.Analysis and experiments show that BPTQ can preserve the privacy of the sensing data and query result,and it is more efficient in energy consumption than the existing work.