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传感器网络中鲁棒性虚假数据过滤方案 被引量:1

Robust filtering false data scheme in sensor networks
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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。 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.
出处 《计算机工程与应用》 CSCD 2012年第35期67-70,232,共5页 Computer Engineering and Applications
基金 国家自然科学基金(No.11071272) 湖南人文科技学院青年基金(No.2010QN02)
关键词 传感器网络 安全 密钥管理 虚假数据过滤 sensor network security key management filtering false data
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参考文献13

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