Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (35): 67-70.

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Robust filtering false data scheme in sensor networks

LI Sujun, ZHOU Boqing, YANG Siqing   

  1. Department of Computer, Hunan University of Humanities, Science and Technology, Loudi, Hunan 417000, China
  • Online:2012-12-11 Published:2012-12-21



  1. 湖南人文科技学院 计算机系,湖南 娄底 417000

Abstract: False data injection attacks not only cause Base Station(BS) to make wrong decisions, but also drain out the significant sensor network resources. A Robust Filtering False Date Scheme(RFFD) is proposed. The scheme consists of two major components:one is the underlying key management framework and the other is the filtering false data security mechanism. Theoretical analysis and simulation results show that RFFD scheme can substantially improve the capacity of filtering false data packets compared with SEF scheme.

Key words: sensor network, security, key management, filtering false data

摘要: 虚假数据攻击不仅误导基站做出错误的决定,同时也会耗尽宝贵的网络资源。提出了一个鲁棒性虚假数据过滤方案(a Robust Filtering False Date scheme,RFFD)。该方案主要包括一个密钥管理架构及与之对应的虚假数据过滤安全机制两个部分。理论分析和模拟实验表明,与SEF方案相比,RFFD方案过滤虚假数据包的性能显著提高。

关键词: 传感器网络, 安全, 密钥管理, 虚假数据过滤