Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China.
Electrical & Computer Engineering Department, Northeastern University, 360 Huntington Avenue, Boston, MA 02115, USA.
Sensors (Basel). 2019 Feb 22;19(4):922. doi: 10.3390/s19040922.
In Global Navigation Satellite System (GNSS), a spoofing attack consists of forged signals which possibly cause the attacked receivers to deduce a false position, a false clock, or both. In contrast to simplistic spoofing, the induced spoofing captures the victim tracking loops by gradually adjusting it's parameters, e.g., code phase and power. Then the victims smoothly deviates from the correct position or timing. Therefore, it is more difficult to detect the induced spoofing than the simplistic one. In this paper, by utilizing the dynamic nature of such gradual adjustment process, an induced spoofing detection method is proposed based on the S-curve-bias (SCB). Firstly, SCB in the inducing process is theoretically derived. Then, in order to detect the induced spoofing, a detection metric is defined. After that, a series of experiments using the Texas spoofing test battery (TEXBAT) are performed to demonstrate the effectiveness of the proposed algorithm.
在全球导航卫星系统 (GNSS) 中，欺骗攻击由伪造信号组成，这些信号可能导致受攻击的接收器推断出错误的位置、错误的时钟或两者兼而有之。与简单的欺骗相比，感应欺骗通过逐渐调整其参数（例如码相位和功率）来捕获受害者的跟踪环路。然后，受害者会平滑地偏离正确的位置或时间。因此，感应欺骗比简单的欺骗更难检测。在本文中，通过利用这种逐渐调整过程的动态特性，提出了一种基于 S 曲线偏差 (SCB) 的感应欺骗检测方法。首先，从理论上推导出了诱导过程中的 SCB。然后，为了检测感应欺骗，定义了一个检测指标。之后，使用德克萨斯欺骗测试电池 (TEXBAT) 进行了一系列实验，以验证所提出算法的有效性。
