Privacy-Preserving in-Network Aggregation in Wireless Sensor Network

Abstract

Ubiquitously deployed wireless sensor networks provide grate conveniences for environment monitoring. However, it also brings the risk of violating privacy. Sensitive sensor data disclosed to malicious part may cause unexpected lost. In this paper, we propose a privacy-preserving in-network aggregation protocol for wireless sensor network based on the concept of data slicing, mixing and merging with a novel share key management scheme. Our protocol allows performing in-network aggregation in sensor network while keeps the privacy of participates. Although we only study additive aggregation in this paper, our protocol can be easily extended to other aggregation functions, including average, count and many other functions based on aggregation as long as these aggregation functions can be reduced to additive aggregation function. Performance evaluation yields the efficiency and effectiveness of our protocol.