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计算机工程 ›› 2012, Vol. 38 ›› Issue (15): 134-138. doi: 10.3969/j.issn.1000-3428.2012.15.037

• 安全技术 • 上一篇    下一篇

WSN数据融合中的隐私保护技术研究

许 建a,b,杨 庚a,b,陈正宇b,王海勇a,杨 震a   

  1. (南京邮电大学 a. 宽带无线通信与传感网技术教育部重点实验室;b. 计算机学院,南京 210003)
  • 收稿日期:2011-11-02 出版日期:2012-08-05 发布日期:2012-08-05
  • 作者简介:许 建(1980-),男,讲师、博士研究生,主研方向:信息安全,无线传感器网络;杨 庚,教授、博士后、博士生导师; 陈正宇、王海勇,讲师、博士研究生;杨 震,教授、博士、博士生导师
  • 基金资助:
    国家“973”计划基金资助项目(2011CB302903);国家自然科学基金资助项目(60873231);江苏省高校自然科学研究基金资助重大项目(11KJA520002);江苏省自然科学基金资助项目(BK2009426);南京邮电大学青蓝计划基金资助项目(NY210044);江苏省研究生培养创新工程基金资助项目(CXLX11_0416, CXLX11_0415, CXZZ11_0402, CX10B_195Z)

Research of Privacy-preserving Technology in Wireless Sensor Network Data Aggregation

XU Jian a,b, YANG Geng a,b, CHEN Zheng-yu b, WANG Hai-yong a, YANG Zhen a   

  1. (a. Key Lab of Broadband Wireless Communication & Sensor Network Technology of Ministry of Education; b. College of Computer Science & Technology, Nanjing University of Post & Telecommunications, Nanjing 210003, China)
  • Received:2011-11-02 Online:2012-08-05 Published:2012-08-05

摘要: 无线传感器网络(WSN)因节点资源受限、结构自组织性等特点而对隐私保护方面有特殊需求。为此,根据隐私保护策略的不同,将现有的隐私保护算法分为基于簇结构、基于数据切片和基于加密技术3类,对CPDA、iCPDA、SMART、ESPART、CDA、RCDA、KIPDA等典型算法在计算复杂度、通信开销、时延、隐私保护性、数据完整性、入侵检测能力和融合精确性方面进行比较,总结各种算法的优缺点,并探讨WSN数据融合中隐私保护技术的下一步研究方向。

关键词: 无线传感器网络, 隐私保护, 数据融合, 计算复杂度, 通信开销

Abstract: The special characteristics of Wireless Sensor Network(WSN), such as resource constraints and self-organizing nature of its architecture, introduce unique challenges for privacy preservation in WSN. The privacy-preserving aggregation techniques are classified into three categories: cluster-based, slice-based and encrypt-based depending on the protocol operation. It reviews the existing techniques for privacy- preserving data aggregation, including CPDA, iCPDA, SMART, ESPART, CDA, RCDA, KIPDA and so on, evaluates their performances in terms of several metrics, such as computation complexity, communication complexity, delay, privacy, accuracy, and then summarizes the pros and cons of each algorithm. Some important future research directions in the field of privacy-preserving data aggregation for WSN are discussed.

Key words: Wireless Sensor Network(WSN), privacy-preserving, data aggregation, computational complexity, communication cost

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