Energy-efficient privacy-preserving data aggregation protocols based on slicing

Xiaowu Liu,Xiaowei Zhang,Qiang Zhang,Can Fu,Jiguo Yu

doi:10.1186/s13638-020-1643-6

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.

Highlights

Nowadays, wireless sensor networks (WSNs), seen as a popular technique, are applied into various applications, such as environmental monitoring, smart home, Internet of Things, and military battlefields [1, 2]
This paper presents an energy-efficient privacypreserving data aggregation protocol based on slicing (EPPA) which adopts data decomposition to reduce the number of slices and significantly save communication costs
As an improvement to EPPA, we propose an enhanced EPPA protocol, called multi-function privacy preserving data aggregation (MPPA), which focuses on multiple aggregation functions and may improve the universality of privacy-preserving technique in WSNs

Summary

Introduction

Wireless sensor networks (WSNs), seen as a popular technique, are applied into various applications, such as environmental monitoring, smart home, Internet of Things, and military battlefields [1, 2]. It requires more communication consumption which shortens the lifetime of network and degrades the effectiveness of sensor node. According to the abovementioned limitations, SMART algorithm needs to be improved and challenging issues have been tackled by many contributions He et al proposed a SMART-based addition aggregation which was a fixed slicing scheme [19], and each node divided its raw data to J slices (J is a predefined number) and (J − 1) slices are sent to its neighboring nodes and one slice is held in itself. The EPPA scheme is capable of dividing sensitive data into two pieces by extended Euclidean, which may hide the original data well and effectively defend against collusion attacks Another enhanced protocol, MPPA, is proposed, which supports multiple aggregation functions and expands the adaptability of our scheme in a practical WSN-based system. The effectiveness of network is promoted and the lifetime of network is prolonged

Energy-efficient privacy-preserving data aggregation protocol based on smart

20. End For

Multi-function privacy-preserving data aggregation protocol

End For

Conclusion