Android Raw GNSS Measurements as the New Anti-Spoofing and Anti-Jamming Solution

Damian Miralles, Nathan Levigne, Dennis M. Akos, Juan Blanch, and Sherman Lo

Abstract: Reliable radio navigation signals are of extreme importance. Nowadays we rely on Global Navigation Satellite System (GNSS) related technologies for a range of uses ranging from agricultural, financial, transportation and military applications. As such, providing existing systems with the tools to combat the threat presented by malicious spoofing or jamming attacks is critical. The paper explores the properties of the different sensors available on a smartphones and evaluates their potential for spoofing and jamming detection. By properly assessing key sensor properties, this work will detect spoofing or jamming by monitoring alarm triggers set by a combination of sensors including but not limited to: (1) network location provider, (2) combined Automatic Gain Control (AGC) and C/N0 engine, (3) inertial sensor data, and (4) pseudorange residual metrics. In addition, we investigate the existence of the solution on the smartphone and further discuss the sensors with potential in the identification if any type of interference attack. Combining all together is GNSSAlarm, an Android application (still under development) that creates a tool, based on resources already in the pocket of millions of individuals and develops an effective anti-spoofing, anti-jamming tool that will allow proper functionality when in the presence of spoofing attacks and will notify the user when under jamming attacks.
Published in: Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018)
September 24 - 28, 2018
Hyatt Regency Miami
Miami, Florida
Pages: 334 - 344
Cite this article: Miralles, Damian, Levigne, Nathan, Akos, Dennis M., Blanch, Juan, Lo, Sherman, "Android Raw GNSS Measurements as the New Anti-Spoofing and Anti-Jamming Solution," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 334-344. https://doi.org/10.33012/2018.15883
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In