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Centralized security-guaranteed filtering in multirate-sensor fusion under deception attacks

机译:欺骗攻击下多速率传感器融合中的集中安全保证过滤

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In this paper, the centralized security-guaranteed filtering problem is studied for linear time-invariant stochastic systems with multirate-sensor fusion under deception attacks. The underlying system includes a number of sensor nodes with a centralized filter, where each sensor is allowed to be sampled at different rate. A new measurement output model is proposed to characterize both the multiple rates and the deception attacks. By exploiting the lifting technique, the multi-rate sensor system is cast into a single-rate discrete-time system. With a new concept of security level, the aim of this paper is to design a filter such that the filtering error dynamics achieves the prescribed level of the security under deception attacks. By using the stochastic analysis techniques, sufficient conditions are first derived such that the filtering error system is guaranteed to have the desired security level, and then the filter gain is parameterized by using the semi-definite programme method with certain nonlinear constraints. Finally, a numerical simulation example is provided to demonstrate the feasibility of the proposed filtering scheme. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文研究了具有欺骗性攻击的多速率传感器融合的线性时不变随机系统的集中安全保证滤波问题。底层系统包括多个带有集中式过滤器的传感器节点,每个传感器都可以以不同的速率进行采样。提出了一种新的测量输出模型来表征多重速率和欺骗攻击。通过利用提升技术,将多速率传感器系统转换为单速率离散时间系统。借助新的安全级别概念,本文的目的是设计一种过滤器,使过滤错误动态在欺骗攻击下达到规定的安全级别。通过使用随机分析技术,首先导出足够的条件,以确保滤波误差系统具有所需的安全级别,然后使用具有一定非线性约束的半定程序方法对滤波器增益进行参数化。最后,提供了一个数值仿真例子来说明所提出的滤波方案的可行性。 (C)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2018年第1期|406-420|共15页
  • 作者单位

    Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China;

    Donghua Univ, Sch Informat Sci & Technol, Shanghai 200051, Peoples R China;

    Donghua Univ, Sch Informat Sci & Technol, Shanghai 200051, Peoples R China;

    King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia;

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