Deception Attack Detection and Estimation for a Local Vehicle in Vehicle Platooning Based on a Modified UFIR Estimator
Deception Attack Detection and Estimation for a Local Vehicle in Vehicle Platooning Based on a Modified UFIR Estimator
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基于改进的 UFIR 估计器的车辆编队中本地车辆的欺骗攻击检测和估计
DOI：
10.1109/jiot.2020.2966672
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发表时间：
2020-05
影响因子：
10.6
通讯作者：
Tan Ying
中科院分区：
文献类型：
--
作者：
Ju Zhiyang;Zhang Hui;Tan Ying
研究了车辆队列中局部车辆的位置传感器欺骗攻击检测与估计问题。在队列系统中，由于相邻车辆之间的距离相对较小，因此位置测量至关重要。然而，车辆的位置测量通常容易受到欺骗攻击，因为它依赖于外部信息，如GPS和来自摄像头的环境信息。因此，位置传感器欺骗攻击的检测与估计问题需要解决。为了解决这一问题，提出了一个线性化模型来描述局部车辆的纵向动力学。此外，该模型还详细说明了建模不确定性、测量噪声以及在位置测量中注入的分段常数欺骗攻击。在此模型的基础上，提出了一种基于改进的无偏有限脉冲响应估计量的方案，以产生只与攻击相关的中间估计值。然后，根据该值通过函数拟合策略恢复欺骗攻击。在分析结果的基础上，进行了仿真，验证了所提攻击检测和估计方案的有效性。
In this article, the position sensor deception attack detection and estimation problem is investigated for a local vehicle in a vehicle platoon. In a platoon system, the position measurement is critical as the distances between neighboring vehicles are relatively small. However, the position measurement of vehicles is usually vulnerable to deception attacks as it relies on external information, such as GPS and environment information from cameras. Therefore, position sensor deception attack detection and estimation should be addressed for local vehicles in a platoon. To deal with this problem, a linearized model is presented to describe the longitudinal dynamics of a local vehicle. Moreover, modeling uncertainties, measurement noises, and piecewise constant deception attacks injected in position measurement are specified along with this model. Based on this model, a scheme based on a modified unbiased finite impulse response (UFIR) estimator is proposed to generate an intermediate estimated value related only to the attack. Then, the deception attack is recovered based on this value through a function fitting strategy. Based on analysis results, simulations are conducted to verify the effectiveness of the proposed attack detection and estimation scheme.
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DOI：
10.1109/acc.2013.6580348
发表时间：
2013-06
期刊：
2013 American Control Conference
影响因子：
--
作者：
Cheolhyeon Kwon;Weiyi Liu;Inseok Hwang
通讯作者：
Cheolhyeon Kwon;Weiyi Liu;Inseok Hwang
DOI：
--
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Chen Yan
通讯作者：
Chen Yan
DOI：
10.1109/isie.2018.8433814
发表时间：
2018-06
期刊：
2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)
影响因子：
--
作者：
I. Mousavinejad;Fuwen Yang;Q. Han;Quanwei Qiu;L. Vlacic
通讯作者：
I. Mousavinejad;Fuwen Yang;Q. Han;Quanwei Qiu;L. Vlacic
影响因子：
1.9
作者：
Y. Shmaliy;D. Simon
通讯作者：
Y. Shmaliy;D. Simon
DOI：
10.1145/2735960.2735984
发表时间：
2015-04
期刊：
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems
影响因子：
--
作者：
Junkil Park;Radoslav Ivanov;James Weimer;Miroslav Pajic;Insup Lee
通讯作者：
Junkil Park;Radoslav Ivanov;James Weimer;Miroslav Pajic;Insup Lee