No abstract

No abstract

Spoofing attacks are a major threat to civilian GNSS usage given the powerful impact that they have on a receiver. Many different anti-spoofing techniques have been developed in past years and best practices algorithms combine complimentary techniques to generate optimized protection. In this paper we utilize anti-spoofing techniques that make use of the outputs from commercial off the shelf receivers. It combines the observation of power measurements and the control of asymmetries in the correlation function. The technique's nominal behavior is assessed using real datasets from Wide Area Augmentation System stations and the spoofing detection capabilities are tested by means of the Texas spoofing test battery. The correlation between various metrics is also observed to lower the false alarm probabilities, particularly between the power measurement and the carrier to noise density ratio information. A major application of this observation is the distinction between spoofing attacks and interference events.

In this paper, the Extended Coupled Amplitude Delay Lock Loop (ECADLL) architecture, previously introduced as a solution able to deal with a multipath environment, is revisited and improved to tailor it to spoofing detection purposes. Exploiting a properly-defined decision algorithm, the architecture is able to effectively detect a spoofer attack, as well as distinguish it from other kinds of interference events. The new algorithm is used to classify them according to their characteristics. We also introduce the use of a ratio metric detector in order to reduce the detection latency and the computational load of the architecture.

No abstract