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Author Ochin, Evgeny
Affiliation Maritime University of Szczecin, Faculty of Navigation, Institute of Marine Technologies Akademia Morska w Szczecinie, Wydział Nawigacyjny, Instytut Technologii Morskich 70-500 Szczecin, ul. Wały Chrobrego 1–2
E-mail e.ochin@am.szczecin.pl
Author Dobryakova, Larisa
Affiliation West Pomeranian University of Technology, Faculty of Computer Science and Information Technologies Zachodniopomorski Uniwersytet Technologiczny, Wydział Informatyki i Technologii Informacyjnych 71-210 Szczecin, ul. Żołnierska 49
E-mail larisa555@gmail.com
Author Lemieszewski, Łukasz
Affiliation Secondary School of General Education No. 1, Zespół Szkół Zawodowych nr 1 66-400 Gorzów Wielkopolski, ul. Puszkina 31
E-mail llemieszewski@gmail.com
ISSN printed 1733-8670
URI http://repository.scientific-journals.eu/handle/123456789/358
Abstract Many civil GNSS (Global Navigation Satellite System) applications need secure, assured information for asset tracking, fleet management and the like. But there is also a growing demand for geosecurity location- -based services. Unfortunately, GNSS is vulnerable to malicious intrusion and spoofing. How can users be sure that the information they receive is authentic? Spoofing is the transmission of matched-GNSS-signal- -structure interference in an attempt to commandeer the tracking loops of a victim receiver and thereby manipulate the receiver’s timing or navigation solution. A spoofer can transmit its counterfeit signals from a stand-off distance of several hundred meters, or it can be co-located with its victim. Spoofing attacks can be classified as simple, intermediate, or sophisticated in terms of their effectiveness and subtlety. In an intermediate spoofing attack, a spoofer synchronizes its counterfeit signals with the authentic GNSS signals, so they are code-phase-aligned at the target receiver. In this paper, authors consider the antispoofing algorithms based on finding statistical anomalies in the basic parameters of the satellite signals. At the stage of learning, the system of antispoofing explores the statistical properties of signals and at the phase of spoofing detection, the system used thresholds characteristics of statistical anomalies. The excess of the threshold characteristics provides a basis for probabilistic decision on the presence of spoofing
Pages 93–101
Publisher Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie
Keywords GPS
Keywords GLONASS
Keywords Galileo
Keywords GNSS
Keywords antiterrorism
Keywords antispoofing
Title Antiterrorism – design and analysis of GNSS antispoofing algorithms
Type Review article
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ISSN on-line 2392-0378
Language English
Funding No data
Figures 8
Tables 0
Published 2012-06-10
Accepted 2012-05-16
Recieved 2012-04-19


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