论文标题
远程状态估算具有针对窃听者的隐私权
Remote State Estimation with Privacy Against Eavesdroppers
论文作者
论文摘要
我们在没有数据包收据确认的挑战性网络环境下研究了被动窃听器的远程估计问题。远程合法用户通过不安全和不可靠的网络从传感器接收到的状态信息估算了线性工厂的状态。传感器的传输可能被窃听器拦截。为了保持国家机密性，我们提出了一个编码计划。我们的方案根据合法用户和传感器预先安排的伪随机指示器传输噪声。噪音的传播损害了窃听者的性能，而不是合法用户的表现。使用拟议的编码方案，我们损害了窃听者的预期估计性能，同时最大程度地减少了合法用户的预期性能退化。我们探讨了国家机密性与合法用户绩效退化之间的权衡。
We study the problem of remote state estimation in the presence of a passive eavesdropper, under the challenging network environment of no packet receipt acknowledgments. A remote legitimate user estimates the state of a linear plant from the state information received from a sensor via an insecure and unreliable network. The transmission from the sensor may be intercepted by the eavesdropper. To maintain state confidentiality, we propose an encoding scheme. Our scheme transmits noise based on a pseudo-random indicator, pre-arranged at the legitimate user and sensor. The transmission of noise harms the eavesdropper's performance, more than that of the legitimate user. Using the proposed encoding scheme, we impair the eavesdropper's expected estimation performance, whilst minimising expected performance degradation at the legitimate user. We explore the trade-off between state confidentiality and legitimate user performance degradation.
