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On the recognition of compromise in sensing systems: rewired acoustic arrays and distorted route estimation and classification

机译:关于传感系统中的折衷识别:重新布线的声学阵列以及失真的路线估计和分类

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A group of acoustic arrays that provide direction of approach estimates also supports classification of vehicles using the beams formed during that estimation. Successful simultaneous tracking and classification has demonstrated the value of such a sensing resource as an unattended ground sensor (UGS) installation. We now consider potential attacks on the integrity of such an installation, describing the effect of compromised acoustic arrays in the data analysis and tracking and classification results. We indicate how these can be automatically recognized, and note that calibration methods intended for deployment time can be used for recovery during operation, which opens the door to methods for recovery from the compromise without re-configuring the equipment, using abductive reasoning to discover the necessary re-processing structure.rnBy rotating an acoustic array, the tracking stability and implied path of an entity can be distorted while leaving the data and analysis from individual arrays self-consistent. Less structured modifications such as exchanging microphone connections impact the basic data analysis. We examine the effect of these classes of attack on the integrity of a set of unattended acoustic arrays, and consider the steps necessary for detection, diagnosis, and recovering an effective sensing system. Understaning these steps plays an important part in reasoning in support of balance of investment, planning, operation and post-hoc analysis.
机译:提供接近估计方向的一组声学阵列还支持使用在估计期间形成的波束对车辆进行分类。成功的同时跟踪和分类已经证明了这种无人值守地面传感器(UGS)安装等传感资源的价值。现在,我们考虑对此类设备完整性的潜在攻击,描述数据分析以及跟踪和分类结果中受损的声学阵列的影响。我们指出了如何自动识别它们,并注意用于部署时间的校准方法可用于在操作过程中进行恢复,这为从折中恢复的方法打开了一扇门,而无需重新配置设备,而是使用归纳推理来发现故障。通过旋转声学阵列,可以使实体的跟踪稳定性和隐含路径失真,同时使各个阵列的数据和分析保持一致。结构化程度较低的修改(例如交换麦克风连接)会影响基本数据分析。我们检查了这些攻击类别对一组无人值守的声学阵列的完整性的影响,并考虑了检测,诊断和恢复有效传感系统所需的步骤。理解这些步骤对于支持投资平衡,计划,运营和事后分析的推理起着重要作用。

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