TY - GEN
T1 - Improving Physical Layer Security of Ground Stations Against GEO Satellite Spoofing Attacks
AU - Kumar, Rajnish
AU - Arnon, Shlomi
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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.
AB - 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.
KW - Deep learning
KW - Physical layer security
KW - Satellite Communication
KW - Terrestrial Network
UR - https://www.scopus.com/pages/publications/85164975895
U2 - 10.1007/978-3-031-34671-2_32
DO - 10.1007/978-3-031-34671-2_32
M3 - Conference contribution
AN - SCOPUS:85164975895
SN - 9783031346705
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 458
EP - 470
BT - Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings
A2 - Dolev, Shlomi
A2 - Gudes, Ehud
A2 - Paillier, Pascal
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023
Y2 - 29 June 2023 through 30 June 2023
ER -