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Channel aware encryption and decision fusion for wireless sensor networks

机译:无线传感器网络的通道感知加密和决策融合

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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,我们研究了分布式检测方案中的安全传输方案。我们考虑被动监听,即位于盟军融合中心(AFC)附近的敌方融合中心(EFC)试图监听传感器与AFC之间的无线通信。为了确保从传感器传输的数据的机密性,我们为传感器设计了一种传输策略,这使AFC可以正确检测未知目标,而EFC完全不知道该目标。通过利用无线衰落信道的随机信道增益作为加密的种子,两组传感器被激活并以不同的方式对其测量进行加密。为了检测目标,AFC基于信道统计信息而不是瞬时信道状态信息执行基于LLR的融合规则。此外,在高信噪比的情况下,我们证明了在AFC处的融合规则简化为经过修改的Chair-Varshney融合规则,该规则仅需要局部检测概率即可确定目标状态。我们的性能评估表明,随着传感器数量的增加,AFC处的检测性能呈指数下降,而EFC处实现了信息理论上的完美保密。

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