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Channel aware encryption and decision fusion for wireless sensor networks

机译:无线传感器网络的信道意识加密和决策融合

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In this paper, we study a secure transmission scheme in a distributed detection scenario. We consider passive eavesdropping where an enemy fusion center (EFC) located in a vicinity of an ally fusion center (AFC) tries to eavesdrop on wireless communications between sensors and the AFC. To ensure confidentiality in the transmitted data from the sensors, we design a transmission strategy for the sensors, which makes the AFC properly detect an unknown target while the EFC is totally ignorant of it. Two groups of sensors are activated and encrypt their measurements in different ways by exploiting a random channel gain of wireless fading channel as a seed for encryption. To detect the target, the AFC performs LLR based fusion rules based on the channel statistics instead of instantaneous channel state information. In addition, at high signal-to-noise ratio, we show that our fusion rule at the AFC is simplified to a modified Chair-Varshney fusion rule that only requires local detection probabilities to decide the target state. Our performance evaluations show that detection performance at the AFC exponentially decays with growing the number of sensors, whereas information-theoretic perfect secrecy is achieved at the EFC.
机译:在本文中,我们在分布式检测方案中研究了安全传输方案。我们考虑被动窃听,其中位于盟友融合中心附近(AFC)附近的敌人融合中心(EFC)试图窃听传感器和AFC之间的无线通信。为了确保来自传感器的传输数据中的机密性,我们为传感器设计了传输策略,这使得AFC正确地检测未知目标,而EFC完全无知。通过利用无线衰落通道的随机信道增益作为加密的种子,以不同方式激活两组传感器并以不同的方式加密它们的测量。为了检测目标,AFC基于信道统计而不是瞬时信道状态信息执行基于LLR的融合规则。另外,在高信噪比下,我们表明,我们在AFC的融合规则被简化为修改的椅子 - varshney融合规则,只需要局部检测概率来决定目标状态。我们的性能评估表明,随着传感器的数量,AFC的检测性能随着传感器的数量而衰减,而在EFC中实现了信息理论的完美保密。

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