The Separate Clock Drift Matched Filter to Detect Time Synchronization Attacks Toward Global Navigation Satellite Systems

This article is concerned with the security problem of industrial networks. Smart grids, telecommunications, and many other wide-area networks heavily depend on the time synchronization service of the global navigation satellite system (GNSS). This service is exposed to the time synchronization atta...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2023-06, Vol.70 (6), p.6305-6315
Main Authors: Gao, Weiyu, Li, Hong, Zhong, Minghan, Lu, Mingquan
Format: Article
Language:English
Subjects:
Abnormalities
Clocks
Drift
Global navigation satellite system
Global navigation satellite system (GNSS)
Matched filters
Monitoring
network security
Phasor measurement units
Receivers
Satellites
Signal monitoring
Smart grid
spoofing detection
Synchronization
Time synchronization
time synchronization attack (TSA)
Wide area networks
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Summary:This article is concerned with the security problem of industrial networks. Smart grids, telecommunications, and many other wide-area networks heavily depend on the time synchronization service of the global navigation satellite system (GNSS). This service is exposed to the time synchronization attack (TSA) which can spoof GNSS timing results and bring serious consequences. Therefore, to improve the time security of networks, a novel TSA detection method named the separate clock drift matched filter (SCD-MF) is introduced. It aims at concealed TSA signals that would not bring conspicuous abnormalities in positioning or timing solutions. This method works by monitoring the synchronicity of signal pseudorange measurements, which are expected to be synchronously changed by concealed TSA signals. This article also presents real-world experiment results. TSA detection experiments are done on a self-developed testbed that contains a real-time TSA spoofer. Compared with two benchmark methods, the SCD-MF shows better detection abilities in different conditions. Moreover, the detection performance of the SCD-MF method is analyzed both theoretically and experimentally.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2022.3194578