GNSS spoofing detection based on single signal quality monitoring metric

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00566374" target="_blank" >RIV/60162694:G43__/26:00566374 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061323" target="_blank" >10.1109/ICMT65201.2025.11061323</a>

Jazyk výsledku

angličtina

Název v původním jazyce

GNSS spoofing detection based on single signal quality monitoring metric

Popis výsledku v původním jazyce

Spoofing detection of Global navigation satellite system (GNSS) signals is becoming increasingly essential in today's world, requiring innovative methods to address ever more sophisticated spoofing techniques. This paper aims to introduce an easy to implement approach for detecting spoofing on GNSS receivers using single signal quality monitoring (SQM) metric and identifying specific value that indicate whether a GNSS receiver is affected by spoofing or not. The well-known Oak Ridge Spoofing and Interference Test battery dataset is employed for spoofing detection and processed using the software-defined receiver. Post-processed data is analyzed using commonly used statistic metric, which evaluate the behavior of the correlators within the receiver's tracking loop. Based on a simple configuration and a predefined threshold, the algorithms determine the presence of spoofing on the receiver. Promising results are obtained to detect distortions in the correlation with the presence of a spoofing attack and the very low complexity for a GNSS receivers is also very convenient.

Název v anglickém jazyce

GNSS spoofing detection based on single signal quality monitoring metric

Popis výsledku anglicky

Spoofing detection of Global navigation satellite system (GNSS) signals is becoming increasingly essential in today's world, requiring innovative methods to address ever more sophisticated spoofing techniques. This paper aims to introduce an easy to implement approach for detecting spoofing on GNSS receivers using single signal quality monitoring (SQM) metric and identifying specific value that indicate whether a GNSS receiver is affected by spoofing or not. The well-known Oak Ridge Spoofing and Interference Test battery dataset is employed for spoofing detection and processed using the software-defined receiver. Post-processed data is analyzed using commonly used statistic metric, which evaluate the behavior of the correlators within the receiver's tracking loop. Based on a simple configuration and a predefined threshold, the algorithms determine the presence of spoofing on the receiver. Promising results are obtained to detect distortions in the correlation with the presence of a spoofing attack and the very low complexity for a GNSS receivers is also very convenient.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20304 - Aerospace engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings

ISBN

979-8-3315-2338-1

ISSN

2996-4466

e-ISSN

2996-4474

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

—

Místo konání akce

Brno, Czech Republic

Datum konání akce

27. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545807300064