无人飞行器的攻击检测与安全控制,抵御对预期轨迹的攻击

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kunpeng Pan, Yang Lyu, Feisheng Yang, Zheng Tan, Quan Pan
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引用次数: 0

摘要

本文提出了一种针对无人驾驶飞行器(UAV)的安全控制方案,以抵御期望轨迹攻击。该方案的关键组成部分是攻击检测器、攻击估计器和积分滑动模式安全控制器(ISMSC)。我们重点关注攻击者恶意篡改地面控制站(GCS)发送给无人机的期望轨迹。首先,我们通过分析期望轨迹攻击的特征来建立攻击模型。其次,提出了一种基于未知输入观测器(UIO)和间隔观测器的综合攻击检测方案。随后,采用鲁棒自适应观测器(RAO)来补偿攻击对控制系统的影响。第三,建立了具有攻击补偿机制的 ISMSC。最后,提供了仿真结果来验证所提方案的有效性。所提出的检测方案不仅能检测出期望轨迹攻击,还能将其与突发未知干扰(AUD)区分开来。利用 ISMSC 方法,无人机可以在期望轨迹攻击下安全飞行。所提出的检测、估计和补偿综合框架为确保无人机的网络安全提供了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attack Detection and Security Control for UAVs Against Attacks on Desired Trajectory

The paper presents a security control scheme for unmanned aerial vehicles (UAVs) against desired trajectory attacks. The key components of the proposed scheme are the attack detector, attack estimator, and integral sliding mode security controller (ISMSC). We focus on malicious tampering of the desired trajectory sent by the ground control station (GCS) to the UAV by attackers. Firstly, we model attacks by analyzing the characteristics of desired trajectory attacks. Secondly, an integrated attack detection scheme based on an unknown input observer (UIO) and an interval observer is presented. Subsequently, a robust adaptive observer (RAO) is employed to compensate for the impact of attacks on the control system. Thirdly, an ISMSC with an attack compensation mechanism is established. Finally, simulation results are provided to verify the effectiveness of the proposed scheme. The proposed detection scheme can not only detect desired trajectory attacks but also distinguish them from abrupt unknown disturbances (AUDs). By utilizing ISMSC method, UAVs under desired trajectory attacks can fly safely. The proposed comprehensive framework of detection, estimation and compensation provides a theoretical basis for ensuring cyber security in UAVs.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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