An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks

Geng Yang,Liwen He,Qiang Zhou

doi:10.1155/2014/962925

Abstract

Data aggregation is an important method to reduce the energy consumption in wireless sensor networks (WSNs); however, it suffers from the security problems of data privacy and integrity. Existing solutions either have large communication and computation overheads or only produce inaccurate results. This paper proposes a novel secure data aggregation scheme based on homomorphic primitives in WSNs (abbreviated as SDA-HP). The scheme adopts a symmetric-key homomorphic encryption to protect data privacy and combines it with homomorphic MAC synchronically to check the aggregation data integrity. It compares the scheme with the previously known methods such as SIES, iPDA, and iCPDA in terms of the data privacy protection efficiency, integrity performance, computation overhead, communication overhead, and data aggregation accuracy. Simulation results and performance analysis show that our SDA-HP requires less communication and computation overheads than previously known methods and can effectively preserve data privacy, check data integrity, and achieve high data transmission efficiency and accurate data aggregation rate while consuming less energy to prolong network lifetime. To the best of our knowledge, this is the first work that provides both integrity and privacy based on homomorphic primitives.

Highlights

Wireless sensor networks (WSNs) have many popular applications, such as real-time accident reporting, environment monitoring, and military investigation
wireless sensor networks (WSNs) are often deployed in an open and hostile environment; the inherent characteristics of WSNs and data aggregation algorithms make WSNs data aggregation face many security and performance challenges, such as data integrity; privacy protection, and how to enhance the security and performance becomes the key issues for practical applications
In SDA-HP, we suggest that the keys and the parameters generation phase can be performed by the manufacturer before the WSN is deployed; the pseudorandom generator is performed using AES regularly, so the energy consumption for the preconfiguration and pseudorandom function are not considered here

Summary

Introduction

Wireless sensor networks (WSNs) have many popular applications, such as real-time accident reporting, environment monitoring, and military investigation. HM is an energy-efficient symmetric approach, and it is first designed to check the integrity of network coded data [11] It cannot be used directly in WSNs due to its complicated set of parameters and steps. We originally propose a novel secure data aggregation scheme based on homomorphic primitives (SDA-HP) This scheme relies on the combination of a revised version of the HM and the new symmetric-key HE [12] synchronically for WSNs. To the best of our knowledge, our proposed method is the first work that addresses data aggregation supporting both integrity and confidentiality based on homomorphic primitives.

Related Work

In-Network Aggregation

Homomorphic Primitive Tools

Secure Data Aggregation Based on Homomorphic Primitives

Simulation and Analysis

Integrity Performance

Findings

Conclusion