TY - GEN
T1 - Cybersecurity Enhancement for Wireless Networks Using Aerial Reconfigurable Intelligent Surfaces
AU - Kumar, Rajnish
AU - Arnon, Shlomi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - This paper examines the deployment of Aerial Reconfigurable Intelligent Surfaces (ARIS) on drones to bolster wireless communication in environments affected by jamming due to cyber attacks. We evaluate the efficacy of ARIS-assisted communication systems, particularly in scenarios where traditional line-of-sight (LOS) paths are obstructed, a frequent occurrence in urban areas and dynamic user environments. Through simulation, we highlight the substantial advantages of employing ARIS, which can dynamically adjust the phase of reflected signals to optimize the signal-to-interference ratio (SIR). Our findings reveal that deploying ARIS on drones significantly enhances communication reliability and efficiency, demonstrating notable improvements in SIR. This underscores the potential of ARIS to sustain robust communication in challenging conditions, making it a vital technology for resilient wireless networks in urban settings and mobile scenarios with frequent LOS disruptions due to interference and cyber jamming.
AB - This paper examines the deployment of Aerial Reconfigurable Intelligent Surfaces (ARIS) on drones to bolster wireless communication in environments affected by jamming due to cyber attacks. We evaluate the efficacy of ARIS-assisted communication systems, particularly in scenarios where traditional line-of-sight (LOS) paths are obstructed, a frequent occurrence in urban areas and dynamic user environments. Through simulation, we highlight the substantial advantages of employing ARIS, which can dynamically adjust the phase of reflected signals to optimize the signal-to-interference ratio (SIR). Our findings reveal that deploying ARIS on drones significantly enhances communication reliability and efficiency, demonstrating notable improvements in SIR. This underscores the potential of ARIS to sustain robust communication in challenging conditions, making it a vital technology for resilient wireless networks in urban settings and mobile scenarios with frequent LOS disruptions due to interference and cyber jamming.
KW - Aerial intelligent reflecting surfaces
KW - Jamming
KW - mm-wave frequency
KW - Signal-to-interference ratio
UR - http://www.scopus.com/inward/record.url?scp=85214235589&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-76934-4_20
DO - 10.1007/978-3-031-76934-4_20
M3 - Conference contribution
AN - SCOPUS:85214235589
SN - 9783031769337
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 291
EP - 298
BT - Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings
A2 - Dolev, Shlomi
A2 - Elhadad, Michael
A2 - Kutyłowski, Mirosław
A2 - Persiano, Giuseppe
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024
Y2 - 19 December 2024 through 20 December 2024
ER -