计算机应用 ›› 2014, Vol. 34 ›› Issue (6): 1567-1572.DOI: 10.11772/j.issn.1001-9081.2014.06.1567

• 网络与通信 • 上一篇    下一篇

基于信任管理机制的无线传感器网络虚假数据过滤方案

曹燕华1,章志明1,余敏2   

  1. 1. 江西师范大学 软件学院, 南昌 330022
    2. 江西师范大学 学报杂志社, 南昌 330027
  • 收稿日期:2013-11-11 修回日期:2013-12-25 出版日期:2014-06-01 发布日期:2014-07-02
  • 通讯作者: 曹燕华
  • 作者简介:曹燕华(1985-),女,安徽芜湖人,硕士研究生,主要研究方向:无线传感器网络安全;章志明(1978-),男,江西临川人,副教授,主要研究方向:网络信息安全、无线传感器网络安全;余敏(1964-),女,江西丰城人,教授,主要研究方向:无线传感器网络、分布式系统与移动计算、信息安全。
  • 基金资助:

    国家自然科学基金资助项目;江西师范大学青年基金资助项目

False data filtering scheme based on trust management mechanism in wireless sensor networks

CAO Yanhua1,ZHANG Zhiming1,YU Min2   

  1. 1. School of Software, Jiangxi Normal University, Nanchang Jiangxi 330022, China;
    2. Journal of Jiangxi Normal University, Jiangxi Normal University, Nanchang Jiangxi 330027, China
  • Received:2013-11-11 Revised:2013-12-25 Online:2014-06-01 Published:2014-07-02
  • Contact: CAO Yanhua

摘要:

传统的无线传感器网络虚假数据过滤方案只对网络中的虚假数据报告进行过滤,网络中的妥协节点依然可以不断向网络中注入虚假数据,耗费网络资源。为了掐断虚假数据包产生的源头,提出了一种基于信任管理的虚假数据过滤方案。该方案通过分簇的方式,将多个被俘获的节点合谋伪造的虚假数据报告限定在一个簇内,同时引入信任管理机制来检测节点是否被妥协,从而隔离妥协节点。分析结果表明,该方案不仅能有效过滤虚假数据,还能隔离妥协节点,且具备很强的妥协容忍能力。

Abstract:

In the traditional false data filtering schemes of Wireless Sensor Networks (WSN), only the false data reports are filtered, while the compromised nodes still can continuously inject false data to WSN which wastes network resources. In order to cut off the source of false data generating, a new false data filtering scheme based on trust management mechanism was proposed. The conspiracy forged false data generated from multiple captured nodes were limited within a cluster by using clustering method, then the trust management mechanism was used to detect whether the node was compromised, hence isolated the compromised node. The analysis results show that the proposed scheme can not only filter false data effectively, but also isolate compromised nodes, and has a strong ability of tolerating compromised nodes.

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