Projects:2020s1-2290 Untrustworthy GNSS Signal Identification and Generation

Abstract here

Introduction

Satellite-based navigation has become so ubiquitous that it is becoming increasingly difficult to find essential services such as health, transport all the way through to military and law enforcement that don’t rely upon it. In 2017, an incident occurred in the Baltic Sea where numerous ships had their GNSS locations placed into an incorrect position. This position was 15km inland.

The potential for these sorts of attacks occurring has motivated our team’s research as we believe that being able to detect this kind of attack is vital. Further, due to the generous availability of new android mobile devices that have both sufficient processing power and access to the GNSS data, our question is:

“Can we detect untrustworthy GNSS signals using the capabilities of a mobile phone?"

Project team

Project students

• Lachlan Page
• Ian Crossing
• Bailey Heading
• Jack Hilliard

Supervisors

• Dr Matthew Sorell

Objectives

• Develop spoofing capability
  • Spoof a phone and make a spoofing testbed

• Test detection methods on real data
  • Real data gathered from the spoofing testbed

• Implement one or more detection methods in a real-time app
  • Utilise raw parameters from Android API

References

[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...