# GPS-Spoofing Attack Detection Mechanism for UAV Swarms

**Authors:** Pavlo Mykytyn, Marcin Brzozowski, Zoya Dyka, Peter Langendoerfer  
**arXiv:** [2301.12766](https://arxiv.org/abs/2301.12766)  
**Date:** 2023-01-30  
**Summary page:** https://www.summarizepaper.com/en/paper/2301.12766v2/

## Key points

- Surge in research interest and demand for autonomous and semi-autonomous systems across civil application fields
- Reliance on Global Navigation Satellite System signals for navigation
- Vulnerability of civil GPS signals to attacks due to lack of encryption and authentication measures
- Threat of malicious actors replicating genuine GPS signals to deceive targeted systems into altering their course
- Introduction of a cutting-edge detection mechanism specifically designed for combating GPS signal manipulations
- Ability of the innovative approach to identify both single-transmitter and multi-transmitter attacks
- Core principle involving meticulous comparison between distances calculated from GPS coordinates and Impulse Radio Ultra-Wideband ranging among swarm members

## Summary

In the realm of autonomous and semi-autonomous , there has been a surge in research interest and demand across various civil application fields. However, the successful execution of missions by  hinges on their reliance on  signals for navigation, which are part of the Global Navigation Satellite System. Unfortunately, civil GPS signals lack encryption and authentication measures, making them susceptible to . In these attacks, malicious actors replicate genuine GPS signals to deceive targeted  into altering their course, potentially leading to forced landings or crashes. To combat this threat, a groundbreaking study introduces a cutting-edge  specifically designed for . This innovative approach is adept at identifying both single-transmitter and multi-transmitter  in order to preemptively thwart the dire consequences associated with such manipulations. The core principle behind this detection mechanism involves a meticulous comparison between the distances calculated from the GPS coordinates of each pair of swarm members and those obtained through Impulse Radio Ultra-Wideband ranging among the same members.
