| 宋秀兰,漏小鑫,孟利民,何德峰.虚假数据注入攻击下网联车辆自适应巡航状态安全估计[J].高技术通讯(中文),2021,31(3):249~256 |
| 虚假数据注入攻击下网联车辆自适应巡航状态安全估计 |
| Adaptive cruising state secure estimation of connected vehicles under false data injection attack |
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| DOI：10.3772/j.issn.1002-0470.2021.03.004 |
| 中文关键词: 网联车辆；自适应巡航控制；网络攻击；状态估计 |
| 英文关键词: connected vehicle, adaptive cruise control, cyber attack, state estimation |
| 基金项目: |
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| 中文摘要: |
| 考虑网联车辆自适应巡航控制系统中的无线监控网络受到虚假数据汪入攻击下的车辆状态估计问题，提出了一种状态估计方法重构网联车辆系统中的车辆状态。 首先建立自适应巡航控制系统模型和无线监控网络中的虚假数据注入攻击模型；再根据车辆巡航状态被损坏的数据，利用压缩感知原理，将网联车辆巡航状态安全估计问题描述为LI 范数优化问题；进而根据S稀疏性重构网联车辆自适应巡航状态；最后，通过典型车辆自适应巡航场景仿真验证该方法的有效性。 |
| 英文摘要: |
| This paper considers the state estimation problem of the connected vehicles when the wireless monitoring net-work in the adaptive cruise control system of the connected vehicle is under the false data injection attack. A state secure estimation method is proposed to reconstruct the vehicle state in the connected vehicle system. First, the adaptive cruise control system model and the false injection attack model in the wireless monitoring network are es-tablished. Then, based on the corrupted data, the compressed sensing principle is used and the secure estimation problem of the connected vehicle cruise state is described as the L1 norm optimization problem. Furthermore, the in-itial state of the connected vehicle's cruise state is reconstructed based on S-sparsity. Finally, the effectiveness of the algorithm is verified by simulation of typical vehicle cruise scenarios. |
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