注入攻击下的扩展卡尔曼滤波安全检测  

Security Detection of Extended Kalman Filter under Injection Attack

作　　者：李秀雯 王雷 任祝 LI Xiuwen;WANG Lei;REN Zhu(School of Information Science and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China;Coast Guard Academy,Chinese People′s Armed Police Force,Ningbo 315801,China)

机构地区：[1]浙江理工大学信息学院,浙江杭州310018 [2]中国人民武装警察部队海警学院,浙江宁波315801

出　　处：《电子科技》2023年第10期68-73,共6页Electronic Science and Technology

基　　金：国家自然科学基金(61403347)。

摘　　要：信息物理系统是一种开放式的网络化智能信息系统,容易受到安全攻击。注入攻击是一种通信攻击,注入虚假数据会使传感器获得错误量测值,从而导致系统性能变差。针对这一安全问题,文中结合扩展卡尔曼状态估计器,利用基于最小迹原则扩展卡尔曼滤波状态估计的检测方案,对同一场景下的新息序列进行检测,通过假设检验来判断系统状态。MATLAB仿真结果表明,在给定的攻击检测规则下,该检测方案能够有效检测到注入攻击,减少传感器因错误量测值而造成的系统性能损失问题。Cyber-physical system is an open networked intelligent information system,which is vulnerable to security attack.Injection attack is a kind of communication attack,and injection of false data makes the sensor get wrong measurement value,which leads to system performance deterioration.To solve this problem,this study combines the extended Kalman state estimator and uses the detection scheme of extended Kalman filter state estimation based on the least trace principle to detect the new information sequence in the same scene and judge the system state through hypothesis testing.The simulation experiments on MATLAB show that under the given attack detection rules,the detection scheme can effectively detect the injection attack and reduce the performance loss caused by the wrong measurement value of the sensor.

关 键 词：信息物理系统 注入攻击 通信攻击 扩展卡尔曼滤波 状态估计 最小迹 新信息序列 假设检验 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]