Energy-efficient privacy homomorphic encryption scheme for multi-sensor data in WSNs

Suraj Verma, P. Pillai, Yim-Fun Hu
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引用次数: 1

Abstract

The recent advancements in wireless sensor hardware ensures sensing multiple sensor data such as temperature, pressure, humidity, etc. using a single hardware unit, thus defining it as multi-sensor data communication in wireless sensor networks (WSNs). The in-processing technique of data aggregation is crucial in energy-efficient WSNs; however, with the requirement of end-to-end data confidentiality it may prove to be a challenge. End-to-end data confidentiality along with data aggregation is possible with the implementation of a special type of encryption scheme called privacy homomorphic (PH) encryption schemes. This paper proposes an optimized PH encryption scheme for WSN integrated networks handling multi-sensor data. The proposed scheme ensures light-weight payloads, significant energy and bandwidth consumption along with lower latencies. The performance analysis of the proposed scheme is presented in this paper with respect to the existing scheme. The working principle of the multi-sensor data framework is also presented in this paper along with the appropriate packet structures and process. It can be concluded that the scheme proves to decrease the payload size by 56.86% and spend an average energy of 8-18 mJ at the aggregator node for sensor nodes varying from 10-50 thereby ensuring scalability of the WSN unlike the existing scheme.
无线传感器网络中多传感器数据的节能隐私同态加密方案
无线传感器硬件的最新进展确保使用单个硬件单元感知多个传感器数据,如温度,压力,湿度等,从而将其定义为无线传感器网络(wsn)中的多传感器数据通信。数据聚合处理技术是节能无线传感器网络的关键技术;然而,由于需要端到端的数据机密性,这可能是一个挑战。通过实现一种称为隐私同态(PH)加密方案的特殊类型的加密方案,可以实现端到端的数据机密性以及数据聚合。针对处理多传感器数据的WSN集成网络,提出了一种优化的PH加密方案。所提出的方案确保轻量级有效负载,显著的能量和带宽消耗以及较低的延迟。本文针对现有方案进行了性能分析。本文还介绍了多传感器数据框架的工作原理,以及相应的数据包结构和处理方法。结果表明,对于10 ~ 50个传感器节点,该方案减少了56.86%的有效载荷大小,在汇聚器节点上平均消耗8 ~ 18 mJ的能量,从而保证了WSN与现有方案不同的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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