L’Area Navigation Technologies ha pubblicato un articolo sul prestigioso GPS Solutions

20 giugno 2016

I ricercatori dell’Area Navigation Technologies, in collaborazione con la Hanoi University of Science and Technology (centro NAVIS), hanno pubblicato l’articolo "Hypothesis testing methods to detect spoofing attacks: a test against the TEXBAT datasets" (scritto da Micaela Troglia Gamba, Minh Duc Truong, Beatrice Motella, Emanuela Falletti e Tung Hai Ta) sul prestigioso GPS Solutions - The Journal of Global Navigation Satellite Systems (rivista scientifica pubblicata da Springer, in formato cartaceo e online).
Fra tutte le interferenze, gli attacchi realizzati con tecniche di spoofing attacks sono i più pericolosi: il paper presenta la validazione di due algoritmi statistici, ovvero il Chi-square goodness of fit (GoF) test ed il Sign test, in grado di individuare questi attacchi, al fine di rendere il ricevitore più resistente a questo tipo di intereferenze.

Abstract

The hazardous effects of spoofing attacks on the global navigation satellite system (GNSS) receiver are well known. Technologies and algorithms to increase the awareness of GNSS receivers against such attacks become more important and necessary. We present the validation of two statistical spoofing detection methods, namely the Chi-square goodness of fit (GoF) test and the Sign test applied to pairwise correlator differences, for each satellite tracked by the receiver. The test bench for the algorithms, both implemented in a software receiver, is the public database produced by the University of Texas at Austin, which reproduces various representative cases of spoofing attacks (the so-called TEXBAT). The algorithms show a very promising capability of detecting the attack, in particular when an aggregate decision is taken based on a joint detection upon all the tracked satellites. Furthermore, the GoF test appears also reliable in dynamic conditions and in case of a huge power advantage of the spoofing signal. The response of the receiver to the attacks confirms the spoofing signal represents an “extraneous agent” which, before taking control of the receiver, can be recognized by properly combined strategies of signal quality monitoring.