Advancement in technology has resulted in the easy sharing of locations across various stakeholders. Unprotected sharing of location information makes any Global Navigation Satellite System (GNSS) device vulnerable to spoofing attacks. Spoofed GNSS signals propagate misleading trajectories to cripple any Location-Based Service (LBS). This manuscript introduces a novel algorithm for the detection and mitigation of spoofing attacks. The proposed algorithm was implemented in the Android application using the OpenStreetMap dataset. GNSS spoofing attacks were simulated and detected in real-time. The efficiency of the proposed algorithm was analyzed using the Ratio of Correctly Detected (RCD) and Ratio of Correctly Matched (RCM) spoofed points. The maximum observed values for RCD and RCM were 75% and 94%, respectively. Minimum RCD and RCM values observed during the experiment were 59% and 92%. The accuracy of the proposed algorithm was further analyzed using average positional error (APE). Maximum and minimum recorded APE values were 25.08% and 13.83% respectively. The manuscript concludes with a comparison of the proposed algorithm with that of existing techniques.

技术的进步使得各个利益相关者之间可以轻松共享位置。不受保护的位置信息共享使任何全球导航卫星系统（GNSS）设备都容易受到欺骗攻击。欺骗性GNSS信号会传播误导性的轨迹，从而削弱任何基于位置的服务（LBS）。该手稿介绍了一种新颖的算法，用于检测和缓解欺骗攻击。所提出的算法是使用OpenStreetMap数据集在Android应用程序中实现的。GNSS欺骗攻击是实时模拟和检测到的。使用正确检测的比率（RCD）和正确匹配的比率（RCM）欺骗点分析了所提出算法的效率。RCD和RCM的最大观测值分别为75％和94％。实验期间观察到的最小RCD和RCM值分别为59％和92％。使用平均位置误差（APE）进一步分析了所提出算法的准确性。记录的最大和最小APE值分别为25.08％和13.83％。该手稿的结论是将所提出的算法与现有技术进行了比较。