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 | |
| 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 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
Keywords
- GPS
- Jamming
- Vehicular
Cite this
}
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
TY - GEN
T1 - Detection of on-road vehicles emanating GPS interference
AU - Kar, Gorkem
AU - Mustafa, Hossen
AU - Wang, Yan
AU - Chen, Yingying
AU - Xu, Wenyuan
AU - Gruteser, Marco
AU - Vu, Tam
PY - 2014/11/3
Y1 - 2014/11/3
N2 - 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.
AB - 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.
KW - GPS
KW - Jamming
KW - Vehicular
UR - http://www.scopus.com/inward/record.url?scp=84910641385&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84910641385&partnerID=8YFLogxK
U2 - 10.1145/2660267.2660336
DO - 10.1145/2660267.2660336
M3 - Conference contribution
AN - SCOPUS:84910641385
T3 - Proceedings of the ACM Conference on Computer and Communications Security
SP - 621
EP - 632
BT - Proceedings of the ACM Conference on Computer and Communications Security
PB - Association for Computing Machinery
ER -