A GPS Spoofing Detection and Classification Correlator-Based Technique Using the LASSO

A GPS Spoofing Detection and Classification Correlator-Based Technique Using the LASSO
复制标题

DOI:
10.1109/taes.2020.2990149
复制
发表时间:
2020-12-01
影响因子:
4.4
通讯作者:
Akopian, David
Akopian, David
中科院分区:
计算机科学2区
文献类型:
--
作者:
Schmidt, Erick;Gatsis, Nikolaos;Akopian, David

文献摘要

被引文献

相似文献

本文提出了一种单天线接收机的全球导航卫星系统(GNSS)欺骗检测和分类技术。我们制定了一个优化问题,在基带相关器域使用最小绝对收缩和选择算子(LASSO)。我们对接收信号的相关器抽头输出进行建模,以形成三角形函数的字典,并利用稀疏信号处理来从所述字典中选择移位匹配三角形的分解。该最小化问题的最优解通过观察稀疏向量输出中的两个不同码相位值(真实的和欺骗的)的分解来辨别潜在欺骗攻击峰值的存在。我们使用阈值来减少误报。此外,我们提出了一个变化的最小化问题,通过提高字典的更高分辨率的移位三角形。所提出的技术可以实现为一个先进的精细采集监控工具,以帮助在跟踪环欺骗缓解。在我们的实验中,我们能够区分真实的和伪造的峰值从合成数据模拟和从一个真实的数据集,即,得克萨斯州欺骗测试电池。所提出的方法实现了0.3%的检测错误率的spokesman攻击在标称的信号噪声比的条件下和一个真实的spokesman功率为3 dB。
This article proposes a global navigation satellite system (GNSS) spoofing detection and classification technique for single-antenna receivers. We formulate an optimization problem at the baseband correlator domain by using the Least Absolute Shrinkage and Selection Operator (LASSO). We model correlator tap outputs of the received signal to form a dictionary of triangle-shaped functions and leverage sparse signal processing to choose a decomposition of shifted matching triangles from said dictionary. The optimal solution of this minimization problem discriminates the presence of a potential spoofing attack peak by observing a decomposition of two different code-phase values (authentic and spoofed) in a sparse vector output. We use a threshold to mitigate false alarms. Furthermore, we present a variation of the minimization problem by enhancing the dictionary to a higher resolution of shifted triangles. The proposed technique can be implemented as an advanced fine-acquisition monitoring tool to aid in the tracking loops for spoofing mitigation. In our experiments, we are able to distinguish authentic and spoofer peaks from synthetic data simulations and from a real dataset, namely, the Texas spoofing test battery. The proposed method achieves 0.3% detection error rate for a spoofer attack in nominal signal-to-noise ratio conditions and an authentic-over-spoofer power of 3 dB.