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Classification of Spoofing Attack Types

 
: Merwe, J.R. van der; Zubizarreta, X.; Lukčin, I.; Rügamer, A.; Felber, W.

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Institute of Electrical and Electronics Engineers -IEEE-:
European Navigation Conference, ENC 2018 : Gothenburg, Sweden, May 14-17, 2018
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-4962-6
ISBN: 978-1-5386-4963-3
pp.91-99
European Navigation Conference (ENC) <26, 2018, Göteborg>
English
Conference Paper
Fraunhofer IIS ()

Abstract
All spoofer attacks have different requirements, impacts, success rates and objectives; therefore, to assess the threat and to develop appropriate counter measures, a clear classification is needed. Being aware of the different existing types of threats, allows an improved design of preventative measures to counter these attacks. This paper classifies spoofer attacks with a layered model. This allows assessing the risks and strategies of operational spoofers with the goal of prevention. The layered model consists of the deployment architectures, the take-over strategy, the control strategy and the application. The paper expands the strategies to manipulate a position of receiver, highlights operational difficulties and suitable counter measures. This emphasises that even if a signal is successfully spoofed, controlling a target receiver is not trivial. Additionally, the most probable spoofing attacks are presented and the applicable antispoofing methods are outlined.

: http://publica.fraunhofer.de/documents/N-520203.html