GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations
Global navigation satellite system (GNSS) signal is vulnerable and easily interfered by spoofing because of its opening signal structure and weak signal power. A signal quality monitoring (SQM) technique has been shown to be viable to detect spoofing attacks on GNSS signals. However, the effectivene...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8497063/ |
| _version_ | 1818618161853890560 |
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| author | Chao Sun Joon Wayn Cheong Andrew G. Dempster Hongbo Zhao Wenquan Feng |
| author_facet | Chao Sun Joon Wayn Cheong Andrew G. Dempster Hongbo Zhao Wenquan Feng |
| author_sort | Chao Sun |
| collection | DOAJ |
| description | Global navigation satellite system (GNSS) signal is vulnerable and easily interfered by spoofing because of its opening signal structure and weak signal power. A signal quality monitoring (SQM) technique has been shown to be viable to detect spoofing attacks on GNSS signals. However, the effectiveness of spoofing detection employing a single SQM metric alone is limited and conditional upon the features extracted of that specific SQM metric. The complementary features among various SQM metrics can be exploited to implement joint detection to overcome the deficiency of the individual SQM metric. Motivated by this idea, this paper investigates the multi-metric joint detection technique, which combines various SQM metrics into a composite SQM metric to detect spoofing attacks. This paper proposes two combination strategies, namely amplitude combination mode and probability of false alarm combination mode (PfaM). The overall performance of different metric combinations was verified using simulations and the Texas Spoofing Test Battery dataset. Results show that the PfaM detector outperforms all single SQM metric detectors under various scenarios. |
| first_indexed | 2024-12-16T17:17:12Z |
| format | Article |
| id | doaj.art-804be5443c214cbdb414a712aab144f1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:17:12Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-804be5443c214cbdb414a712aab144f12022-12-21T22:23:15ZengIEEEIEEE Access2169-35362018-01-016664286644110.1109/ACCESS.2018.28759488497063GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric CombinationsChao Sun0https://orcid.org/0000-0001-5627-7111Joon Wayn Cheong1Andrew G. Dempster2Hongbo Zhao3https://orcid.org/0000-0002-1196-4089Wenquan Feng4Department of Electronic and Information Engineering, Beihang University, Beijing, ChinaThe Australian Centre for Space Engineering Research, School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, AustraliaThe Australian Centre for Space Engineering Research, School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, AustraliaDepartment of Electronic and Information Engineering, Beihang University, Beijing, ChinaDepartment of Electronic and Information Engineering, Beihang University, Beijing, ChinaGlobal navigation satellite system (GNSS) signal is vulnerable and easily interfered by spoofing because of its opening signal structure and weak signal power. A signal quality monitoring (SQM) technique has been shown to be viable to detect spoofing attacks on GNSS signals. However, the effectiveness of spoofing detection employing a single SQM metric alone is limited and conditional upon the features extracted of that specific SQM metric. The complementary features among various SQM metrics can be exploited to implement joint detection to overcome the deficiency of the individual SQM metric. Motivated by this idea, this paper investigates the multi-metric joint detection technique, which combines various SQM metrics into a composite SQM metric to detect spoofing attacks. This paper proposes two combination strategies, namely amplitude combination mode and probability of false alarm combination mode (PfaM). The overall performance of different metric combinations was verified using simulations and the Texas Spoofing Test Battery dataset. Results show that the PfaM detector outperforms all single SQM metric detectors under various scenarios.https://ieeexplore.ieee.org/document/8497063/Global navigation satellite system (GNSS)joint detectionspoofing detectionsignal quality monitoring (SQM) |
| spellingShingle | Chao Sun Joon Wayn Cheong Andrew G. Dempster Hongbo Zhao Wenquan Feng GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations IEEE Access Global navigation satellite system (GNSS) joint detection spoofing detection signal quality monitoring (SQM) |
| title | GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations |
| title_full | GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations |
| title_fullStr | GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations |
| title_full_unstemmed | GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations |
| title_short | GNSS Spoofing Detection by Means of Signal Quality Monitoring (SQM) Metric Combinations |
| title_sort | gnss spoofing detection by means of signal quality monitoring sqm metric combinations |
| topic | Global navigation satellite system (GNSS) joint detection spoofing detection signal quality monitoring (SQM) |
| url | https://ieeexplore.ieee.org/document/8497063/ |
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