High-Sensitivity GPS Spoof Data Classification Based on Fuzzy Logic

Abstract: The Global Positioning System (GPS) receiver is vulnerable to variety of interferences, inclusive of intentional and unintentional ones. This accordingly decreases the navigation accuracy of receiver, and thus causes the receiver cannot work correctly in presence of interference. Consequently, a research effort has begun to study detection and mitigation of GPS spoofing approaches as a serious interference. For the question of GPS spoofing detection, the guidelines are usually raw-based and hard to mathematically model. This make the use of a fuzzy design for the GPS data ideal. A fuzzy logic system is introduced in this paper to analyze and examine the vulnerability of civil GPS receivers towards different kinds of spoofing attacks. This system improves decision-making capability of the receiver from inexact data. The proposed method utilizes the fuzzy set and then the theory of statistical test to recognize fake signals. The studied parameters as input variables are selected from tracking and navigation stage of the GPS receiver.