Improving Physical Layer Security of Ground Stations Against GEO Satellite Spoofing Attacks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The integration of satellite and terrestrial communication systems has the potential to revolutionize worldwide services, enabling ubiquitous and dependable coverage. However, these systems’ unique complexity and design also present opportunities for cyber attacks. The “new space revolution” makes it possible to launch many commercial satellites at a meager cost equipped with smart phased array beam having electronic steering capabilities. The wide spread use of space technologies creates opportunities for cyber attackers to hijack satellites and direct their beams toward specific geographic areas, posing a threat to ground stations and other terrestrial networks. To counter this problem, we propose a cutting-edge signal processing algorithm that can authenticate signals transmitted by satellites to ground stations. Our innovative algorithm can differentiate between signals originating from different satellites by leveraging the spatio-temporal imprint on the signal as it travels through different atmospheric paths in the channel. Simulation studies show that the algorithm achieves a remarkable authentication rate of more than 95 % for signals received by a ground station located in Beer Sheva, Israel, based on a control experiment involving two different GEO satellites, AMOS-17 and AsiaSat-7. By enhancing physical layer security, our algorithm can protect satellite and terrestrial communication systems against cyber-attacks, ensuring reliable and secure global communication services.

Original languageEnglish
Title of host publicationCyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings
EditorsShlomi Dolev, Ehud Gudes, Pascal Paillier
PublisherSpringer Science and Business Media Deutschland GmbH
Pages458-470
Number of pages13
ISBN (Print)9783031346705
DOIs
StatePublished - 1 Jan 2023
Event7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023 - Be'er Sheva, Israel
Duration: 29 Jun 202330 Jun 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13914 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023
Country/TerritoryIsrael
CityBe'er Sheva
Period29/06/2330/06/23

Keywords

  • Deep learning
  • Physical layer security
  • Satellite Communication
  • Terrestrial Network

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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