A DATASET for GPS Spoofing Detection on Unmanned Aerial System
Published: 18 October 2022| Version 3 | DOI: 10.17632/z7dj3yyzt8.3
Contributor:
ghilas AissouDescription
A dataset of Global Positioning System (GPS) spoofing attacks is presented in this article. This dataset includes data extracted from authentic GPS signals collected using an eight-channel GPS receiver installed on top of a vehicle with a speed ranging from 0 mph to 60 mph emulating the UAS flight, as well as three static positions on top of different buildings (different altitudes) to emulate the UAS hovering operation. During the data collection, 13 features are extracted from eight-parallel channels. In addition to the collected authentic GPS signals, three GPS spoofing attack types were simulated, simplistic, intermediate, and sophisticated attacks.
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Institutions
University of North Dakota
Categories
Cybersecurity, Global Positioning Systems, Unmanned Vehicle