STUDY OF REDUCING THE UNCERTAINTY FOR THE SYSTEM TO DETECT THE GPS SPOOFING

Abstract

For many years, GPS spoofing has been advocated. It's been used in a variety of settings,
from ship-based GPS spoofing to GPS spoofing on small vehicles. Spoofing assaults on the
GPS signal are fairly common. The GPS receiver can therefore be manipulated by attackers
to deceive users. Understanding how the Global Navigation Satellite Systems (GNSS) work is
helpful in understanding how GPS spoofing works. Every GPS satellite sends two kinds of
signs: one scrambled for military use and the other decoded for regular citizen use. GPS has
become a critical component of the global information infrastructure, with uses ranging from
precision agriculture to disaster assistance. There would be two data input sources: cameras
(in the real world) and online virtual maps. To simulate the input of real cameras, we used an
existing panoramic image dataset in the analysis. We create multiple modules in this layer to
handle a series of panoramic photos. Each panorama image will be used to collect textual
information. We created the image deblurring and Scene-OCR modules to retrieve precise
textual information. We want to develop a more efficient and lightweight system to detect
GPS spoofing attacks in this article. From obtaining panoramic photos to monitoring GPS
spoofing status, we evaluate the entire dataflow in the system. Existing approaches and
countermeasures are either unsuitable for large-scale use or have a high level of uncertainty
and inefficiency.