Detection of on-road vehicles emanating GPS interference

Gorkem Kar; Hossen Mustafa; Yan Wang; Yingying Chen; Wenyuan Xu; Marco Gruteser; Tam Vu

doi:10.1145/2660267.2660336

Detection of on-road vehicles emanating GPS interference

Gorkem Kar, Hossen Mustafa, Yan Wang, Yingying Chen, Wenyuan Xu, Marco Gruteser, Tam Vu

School of Engineering, Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

The Global Positioning System (GPS) is widely used in critical infrastructures but is vulnerable to radio frequency (RF) interference. A common source of interference are commercial drivers that use GPS jammers to circumvent vehicle tracking systems. Existing mechanisms to detect and identify such interference emitting vehicles on roadways require a large number of specialized detectors or a manual observation process. In this paper, we design a practical, automated system to facilitate enforcement actions. Our system combines information from roadside monitoring points at key locations along the roadway as well as mobile detectors (e.g., smartphones and other mobile GPS systems). Rather than attempting precise localization at a given time, the system exploits the inherent variation in driving speeds and the resulting diverging trajectories of vehicles to uniquely identify the interfering vehicle. Through our experiments on a local highway with a vehicle transmitting interference in the 900MHz ISM band, we found that the vehicle identification rate of our mechanism is 65% for a single-point setup and 100% for a two-point setup. We performed 200 hours of passive monitoring of GPS L1 band on roadways and found two episodes of real interference. We also demonstrate that our mobile detector-based profiles are sufficiently consistent in time and space to enable reliable interference detection.

Original language	English (US)
Title of host publication	Proceedings of the ACM Conference on Computer and Communications Security
Publisher	Association for Computing Machinery
Pages	621-632
Number of pages	12
ISBN (Electronic)	9781450329576, 9781450329576, 9781450331470, 9781450331500, 9781450331517, 9781450331524, 9781450331531, 9781450331548, 9781450331555, 9781450332392
DOIs	https://doi.org/10.1145/2660267.2660336
State	Published - Nov 3 2014
Event	21st ACM Conference on Computer and Communications Security, CCS 2014 - Scottsdale, United States Duration: Nov 3 2014 → Nov 7 2014

Publication series

Name	Proceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)	1543-7221

Other

Other	21st ACM Conference on Computer and Communications Security, CCS 2014
Country	United States
City	Scottsdale
Period	11/3/14 → 11/7/14

All Science Journal Classification (ASJC) codes

Software
Computer Networks and Communications

Keywords

GPS
Jamming
Vehicular

Access to Document

10.1145/2660267.2660336

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Kar, G., Mustafa, H., Wang, Y., Chen, Y., Xu, W., Gruteser, M., & Vu, T. (2014). Detection of on-road vehicles emanating GPS interference. In Proceedings of the ACM Conference on Computer and Communications Security (pp. 621-632). (Proceedings of the ACM Conference on Computer and Communications Security). Association for Computing Machinery. https://doi.org/10.1145/2660267.2660336

Kar, Gorkem ; Mustafa, Hossen ; Wang, Yan ; Chen, Yingying ; Xu, Wenyuan ; Gruteser, Marco ; Vu, Tam. / Detection of on-road vehicles emanating GPS interference. Proceedings of the ACM Conference on Computer and Communications Security. Association for Computing Machinery, 2014. pp. 621-632 (Proceedings of the ACM Conference on Computer and Communications Security).

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title = "Detection of on-road vehicles emanating GPS interference",

abstract = "The Global Positioning System (GPS) is widely used in critical infrastructures but is vulnerable to radio frequency (RF) interference. A common source of interference are commercial drivers that use GPS jammers to circumvent vehicle tracking systems. Existing mechanisms to detect and identify such interference emitting vehicles on roadways require a large number of specialized detectors or a manual observation process. In this paper, we design a practical, automated system to facilitate enforcement actions. Our system combines information from roadside monitoring points at key locations along the roadway as well as mobile detectors (e.g., smartphones and other mobile GPS systems). Rather than attempting precise localization at a given time, the system exploits the inherent variation in driving speeds and the resulting diverging trajectories of vehicles to uniquely identify the interfering vehicle. Through our experiments on a local highway with a vehicle transmitting interference in the 900MHz ISM band, we found that the vehicle identification rate of our mechanism is 65% for a single-point setup and 100% for a two-point setup. We performed 200 hours of passive monitoring of GPS L1 band on roadways and found two episodes of real interference. We also demonstrate that our mobile detector-based profiles are sufficiently consistent in time and space to enable reliable interference detection.",

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author = "Gorkem Kar and Hossen Mustafa and Yan Wang and Yingying Chen and Wenyuan Xu and Marco Gruteser and Tam Vu",

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Kar, G, Mustafa, H, Wang, Y, Chen, Y, Xu, W, Gruteser, M & Vu, T 2014, Detection of on-road vehicles emanating GPS interference. in Proceedings of the ACM Conference on Computer and Communications Security. Proceedings of the ACM Conference on Computer and Communications Security, Association for Computing Machinery, pp. 621-632, 21st ACM Conference on Computer and Communications Security, CCS 2014, Scottsdale, United States, 11/3/14. https://doi.org/10.1145/2660267.2660336

Detection of on-road vehicles emanating GPS interference. / Kar, Gorkem; Mustafa, Hossen; Wang, Yan; Chen, Yingying; Xu, Wenyuan; Gruteser, Marco; Vu, Tam.

Proceedings of the ACM Conference on Computer and Communications Security. Association for Computing Machinery, 2014. p. 621-632 (Proceedings of the ACM Conference on Computer and Communications Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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