Abstract

Wireless sensor networks (WSNs) have become one of the most vigorous techniques in the network domain. However, the sensor nodes of WSNs tend to become the target of attackers due to the broadcast communication mode and the unattended deployment nature. Although it can prevent the sensitive data from being compromised, Slice-Mix-AggRegaTe (SMART) needs to exchange messages frequently in a network, which put tremendous overhead on the sensor nodes with limited resources. Faced with these issues, this paper proposes an energy-efficient privacy-preserving data aggregation protocol based on slicing (EPPA) where a novel slicing mode is adopted to reduce the numbers of slices, which can significantly prevent the data from being compromised and decrease the communication overhead. Meanwhile, an enhanced scheme based on EPPA, called multi-function privacy-preserving data aggregation protocol (MPPA), is presented and it supports multiple functions in the process of data aggregation, such as max/min, count, and mean. The theoretical analysis and the simulation evaluation show that the proposed aggregation protocols demonstrate a better performance in the privacy preserving and the communication efficiency.

中文翻译：

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基于切片的节能型隐私保护数据聚合协议

摘要

无线传感器网络（WSN）已成为网络领域中最强大的技术之一。然而，由于广播通信模式和无人值守的部署性质，WSN的传感器节点往往成为攻击者的目标。尽管可以防止敏感数据受到破坏，但Slice-Mix-AggRegaTe（SMART）需要在网络中频繁交换消息，这给资源有限的传感器节点带来了巨大的开销。面对这些问题，本文提出了一种基于切片的高效节能的隐私保护数据聚合协议（EPPA），该协议采用一种新颖的切片模式来减少切片的数量，从而可以显着防止数据被泄露并减少通信开销。同时，基于EPPA的增强方案 提出了一种称为多功能隐私保护数据聚合协议（MPPA），它在数据聚合过程中支持多种功能，例如最大/最小，计数和均值。理论分析和仿真评估表明，所提出的聚合协议在隐私保护和通信效率方面表现出较好的性能。