spoofing detection methods

Today, navigation systems play a prominent role in modern life. They have various applications in different fields such as information security, marketing, transportation, energy resource management, and so on. Among satellite navigation systems, GPS and GLONASS are very common and widely used. However, satellite navigation systems are vulnerable to a wide range of spoofing attacks and interferences, making the detection of spoofing attacks a crucial challenge. In such a way that using simple methods without artificial intelligence, it is not possible to detect the presence of malicious spoofing attacks. With the advancement of science and technology, spoofing equipment is also evolving. In this article, five effective spoofing methods are introduced. These methods are validated by a Software Defined Radio (SDR) receiver. Then, using a weighted decision function, the overall performance of the five methods is evaluated, and the decision function will determine the presence of a spoofing scenario. These methods along with the decision function will be implemented on hardware consisting of a commercial receiver and an ARM processor. Furthermore, the results indicate that the performance of the detector is acceptable in various generated spoofing scenarios. The receiver's detector accuracy in detecting Spoofing attacks in this work is calculated to be 98.9 percent.