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

机译:在无线传感器网络的数据聚合中保留隐私并确保完整性

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摘要

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.
机译:许多应用程序需要无线传感器网络(WSN)中可靠且可信赖的数据聚合。在本文中,我们提出了一种在WSN的数据聚合中实现数据隐私和完整性保护的新方案,称为保护隐私和确保完整性(PPAI)方案。为此,在数据传输之前,PPAI方案通过将数据分别独立两次随机分解为两个不相等的块并将每个数据块与传感器的单独私有种子组合在一起,从而模糊了传感器节点的原始采样数据节点。通过对性能的分析评估,我们发现PPAI方案在通信开销和数据传播延迟方面比在WSN的数据聚合中实现数据隐私和完整性保证的现有工作要高效得多。

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