Preserving Privacy and Assuring Integrity in data aggregation for Wireless Sensor Networks

Abstract

Many applications require reliable and trustful data aggregation in Wireless Sensor Networks (WSNs). In this paper, we propose a new scheme to achieve data privacy and integrity protection in data aggregation for WSNs, called Preserving Privacy and Assuring Integrity (PPAI) scheme. For this, before data transmission, the PPAI scheme blurs the original sampled data of a sensor node by randomly breaking down the data two times independently into two unequal pieces for each time and combining each of the data pieces with a separate private seed of the sensor node. Through analytical performance evaluations, we show that the PPAI scheme is much more efficient in terms of both communication overhead and data propagation delay than the existing work to achieve data privacy and integrity assurance in data aggregation for WSNs.