电信科学 ›› 2013, Vol. 29 ›› Issue (11): 23-28.doi: 10.3969/j.issn.1000-0801.2013.11.005

• 研究与开发 • 上一篇    下一篇

异构无线传感器网络中一种可恢复数据的安全聚集算法

石鲁生1,2,朱慧博1,陈林1   

  1. 1 宿迁学院计算机科学系 宿迁223800
    2 南京航空航天大学计算机科学与技术学院 南京210016
  • 出版日期:2013-11-20 发布日期:2017-07-04
  • 基金资助:
    国家自然科学基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目;势学科建设工程资助项目“物联网与控制技术”,江苏省宿迁学院重点科研基金资助项目

Security Data Aggregation with Recoverable Data in Heterogeneous Wireless Sensor Network

Lusheng Shi1,2,Huibo Zhu1,Lin Chen1   

  1. 1 Department of Computer Science, Suqian College, Suqian 223800, China
    2 College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Online:2013-11-20 Published:2017-07-04

摘要:

现有无线传感器网络的安全聚集算法能耗开销大,聚集类型单一,提出一种针对异构无线传感器网络的可恢复数据的安全聚集算法。算法使用基于椭圆曲线的同态加密技术实现数据隐私保护,利用高效的签名聚集方案为数据完整性和真实性的验证提供可靠保障。算法独特的数据恢复功能,使聚集节点可在得到聚集结果的同时恢复聚集前的原始数据,方便后续操作,也丰富了聚集类型。算法充分利用异构无线传感器网络中的节点差异,将大量计算工作转移至高资源节点,提高了执行效率。仿真实验和对比分析表明,算法安全性好、效率高,虽然单次聚集过程的通信量稍大,但数据恢复节省了后续工作的开销,整体能耗实际有所降低。

关键词: 无线传感器网络, 数据恢复, 数据聚集, 隐私保护, 异构

Abstract:

Recently, many security aggregation algorithms in wireless sensor network have high communication overhead and the usage of aggregation functions is constrained. A secure data aggregation algorithm with recoverable data in heterogeneous wireless sensor network was proposed. The algorithm uses homomorphism encryption techniques based on elliptic curve to address data privacy protection, and uses an efficient aggregate signature scheme to ensure data integrity and authenticity. The unique data recovery function of this algorithm can recover individual data together with getting the aggregated results, and can facilitate the follow-up operation, and enrich the aggregate type. The algorithm takes full advantage of the difference of nodes in heterogeneous wireless sensor network, and diverts large number of calculation work to h-sensors, this approach improves the efficiency of the implementation. Simulation and comparative analysis show that algorithm has high safety and high efficiency, although the communication overhead of single aggregate process is high, data recovery process saves the overhead of the follow-up work, and the overall energy consumption is actually reduced.

Key words: wireless sensor network, data recovery, data aggregation, privacy-preserving, heterogeneous

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