Infrastructure-Enabled Gps Spoofing Detection and Correction

29 Pages Posted: 9 Dec 2021

See all articles by Feilong Wang

Feilong Wang

affiliation not provided to SSRN

Yuan Hong

Illinois Institute of Technology

Xuegang BAN

University of Washington

Abstract

Accurate and robust localization is crucial for supporting high-level driving automation and safety. Modern localization solutions rely on various sensors, among which GPS has been and will continue to be essential. However, GPS can be vulnerable to malicious attacks and GPS spoofing has been identified as a high threat. GPS spoofing injects false information into true GPS measurements, aiming to deviate a vehicle from its true trajectory, endangering the safety of road users. With various types of vehicle-based sensors emerging, recent studies propose to detect GPS spoofing by fusing data from multiple sensors and identifying inconsistencies among them. Yet, these methods often require sophisticated algorithms and cannot handle stealthy or coordinated attacks targeting multiple sensors. With infrastructure becoming increasingly important in supporting emerging vehicle technologies and systems (such as automated vehicles), this study explores the potential of applying infrastructure data in defending against GPS spoofing. We propose an infrastructure-enabled method by deploying roadside infrastructure as an independent, secured data source. A real-time detector, based on the Isolation Forest, is constructed to detect GPS spoofing. Once spoofing is detected, GPS measurements are isolated, and the potentially compromised location estimator is corrected using the infrastructure data. The proposed method relies less on vehicular onboard data than existing solutions. Enabled by the secure infrastructure data, we can design a simpler yet more effective solution against GPS spoofing, compared with state-of-the-art defense methods. We test the proposed method using both simulation data and real-world GPS data, and show its effectiveness in defending various types of GPS spoofing attacks, including a type of stealthy attacks that are proposed to fail the production-grade autonomous driving systems.

Keywords: GPS spoofing, Infrastructure-enabled defense solution, Isolation forest, Roadside unit, Vehicle localization, Cybersecurity

Suggested Citation

Wang, Feilong and Hong, Yuan and BAN, Xuegang, Infrastructure-Enabled Gps Spoofing Detection and Correction. Available at SSRN: https://ssrn.com/abstract=3977597 or http://dx.doi.org/10.2139/ssrn.3977597

Feilong Wang

affiliation not provided to SSRN ( email )

No Address Available

Yuan Hong

Illinois Institute of Technology ( email )

Stuart Graduate School of Business
565 W. Adams St.
Chicago, IL 60661
United States

Xuegang BAN (Contact Author)

University of Washington ( email )

Seattle, WA 98195
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
12
Abstract Views
72
PlumX Metrics