通信学报 ›› 2014, Vol. 35 ›› Issue (Z2): 112-116.doi: 10.3969/j.issn.1000-436x.2014.z2.015

• 学术论文 • 上一篇    下一篇

低能耗的隐私数据安全融合方法

谷勇浩1,郭达2,林九川3   

  1. 1 北京邮电大学 计算机学院,北京 100876
    2 北京邮电大学 电子工程学院,北京 100876
    3 公安部第三研究所,上海 201204
  • 出版日期:2014-11-25 发布日期:2017-06-19
  • 基金资助:
    国家自然科学基金资助项目;工信部通信软科学基金资助项目;信息网络安全公安部重点实验室开放课题基金资助项目

Energy-saving privacy data secure aggregation method

Yong-hao GU1,Da GUO2,Jiu-chuan LIN3   

  1. 1 School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876,China
    2 School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China
    3 The Third Research Institute of Ministry of Public Security,Shanghai 201204,China
  • Online:2014-11-25 Published:2017-06-19
  • Supported by:
    The National Natural Science Foundation of China;Communication Soft Science Foundation of Ministry of Industry and Information

摘要:

为解决物联网安全数据融合过程中,数据隐私保护与节点计算能力及能量受限之间的矛盾,在对现有方法优缺点分析的基础上,提出一种低能耗的隐私数据安全融合方法(LCSDA,low energy-consuming secure data aggregation),该方法根据最短路径原则选择邻居节点,并且采用 Prim 最小生成树算法建立簇内数据融合路径。仿真结果表明,该方法可以有效降低节点能耗和簇头节点被捕获的概率,同时保证节点数据的隐私性。

关键词: 物联网, 隐私保护, 安全数据融合, 最小生成树算法, 低能耗

Abstract:

For the Internet of things(IoT) secure data aggregation issues,data privacy-preserving and limited computation ability and energy of nodes should be tradeoff.Based on analyzing the pros-and-cons of current works,a low energy-consuming secure data aggregation method (LCSDA) was proposed.This method uses shortest path principle to choose neighbor nodes and generates the data aggregation paths in the cluster based on prim minimum spanning tree algorithm.Simulation results show that this method could effectively cut down energy consumption and reduce the probability of cluster head node being captured,in the same time preserving data privacy.

Key words: Internet of things, secure data aggregation, privacy preserving, minimum spanning tree algorithm, energy saving

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