FDIA对雷达组网系统数据融合的影响分析  

Impact Analysis of FDIA on Data Fusion of Radar Network System

作　　者：黄天奇 王布宏[2] 林东 HUANG Tian-qi;WANG Bu-hong;LIN Dong(Graduate College,Air Force Engineering University,Xi’an 710051,China;Information and Navigation College,Air Force Engineering University,Xi’an 710077,China)

机构地区：[1]空军工程大学研究生院,西安710051 [2]空军工程大学信息与导航学院,西安710077

出　　处：《火力与指挥控制》2020年第6期67-72,共6页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(61671465)。

摘　　要：雷达组网系统将多部雷达组成互联互通的网络,作为典型的赛博物理系统,同样面临着赛博攻击的威胁。为了研究赛博攻击对其性能产生的影响,构建针对雷达组网系统交互式多模型(IMM)数据融合的虚假数据注入攻击(FDIA)模型。建立机动目标动态模型,以及单站雷达和雷达组网系统基于交互式多模型融合算法的分布式数据处理模型。分析虚假数据注入攻击的原理,并建立对应的数学模型。根据机动目标动态模型,进行实验仿真,结果显示虚假数据注入攻击对单站雷达目标状态估计的影响,明显大于对组网雷达目标状态融合估计的影响,验证了雷达组网系统数据融合对于虚假数据注入攻击具有一定的鲁棒性。The radar network system combines multiple radars into a network of interconnected networks.As a typical cyber-physical system,it also faces the threat of cyber attacks.In order to study the impact of cyber attacks on its performance,a false data injection attack(FDIA)model for the radar network system based on interactive multi-model(IMM)data fusion.Firstly,a dynamic model of maneuvering targets and a distributed data processing model based on interactive multi-model fusion algorithm for single-station radar and radar network system are established.Then,the principle of false data injection attacks is analyzed and a corresponding mathematical model is established.Finally,based on the dynamic model of maneuvering target,the experimental simulation results show that the impact of false data injection attack on the target state estimation of single-station radar is significantly greater than that of the target state fusion estimation of the radar network system,which verifies the data fusion of the radar network system is robust to false data injection attack to some extend.

关 键 词：雷达组网系统 数据融合 虚假数据注入攻击 交互式多模型融合 

分 类 号：TJ85[兵器科学与技术—武器系统与运用工程] TN95[电子电信—信号与信息处理]