Ishtiaq, Afifa ; Asadi, Arash ; Khaloopour, Ladan ; Ahmed, Waqar ; Jamali, Vahid ; Hollick, Matthias (2023)
BeamSec: A Practical mmWave Physical Layer
Security Scheme Against Strong Adversaries.
Conference on Communications and Network Security (CNS 2023). Orlando, Florida (02.-05.10.2023)
doi: 10.1109/CNS59707.2023.10289003
Conference or Workshop Item, Bibliographie
Abstract
The high directionality of millimeter-wave (mmWave) communication systems has proven effective in reducing the attack surface against eavesdropping, thus improving the physical layer security. However, even with highly directional beams, the system is still exposed to eavesdropping against adversaries located within the main lobe. In this paper, we propose BeamSec, a solution to protect the users even from adversaries located in the main lobe. The key feature of BeamSec are: (i) Operating without the knowledge of eavesdropper’s location/channel; (ii) Robustness against colluding eavesdropping attack and (iii) Standard compatibility, which we prove using experiments via our IEEE 802.11ad/ay-compatible 60 GHz phased-array testbed. Methodologically, BeamSec first identifies uncorrelated and diverse beampairs between the transmitter and receiver by analyzing signal characteristics available through standard-compliant procedures. Next, it encodes the information jointly over all selected beampairs to minimize information leakage. We study two methods for allocating transmission time among different beams, namely uniform allocation (no knowledge of the wireless channel) and optimal allocation for maximization of the secrecy rate (with partial knowledge of the wireless channel). Our experiments show that BeamSec outperforms the benchmark schemes against single and colluding eavesdroppers and enhances the secrecy rate by 79.8% over a random paths selection benchmark.
Item Type: | Conference or Workshop Item |
---|---|
Erschienen: | 2023 |
Creators: | Ishtiaq, Afifa ; Asadi, Arash ; Khaloopour, Ladan ; Ahmed, Waqar ; Jamali, Vahid ; Hollick, Matthias |
Type of entry: | Bibliographie |
Title: | BeamSec: A Practical mmWave Physical Layer Security Scheme Against Strong Adversaries |
Language: | English |
Date: | 27 October 2023 |
Publisher: | IEEE |
Book Title: | 2023 IEEE Conference on Communications and Network Security |
Event Title: | Conference on Communications and Network Security (CNS 2023) |
Event Location: | Orlando, Florida |
Event Dates: | 02.-05.10.2023 |
DOI: | 10.1109/CNS59707.2023.10289003 |
Abstract: | The high directionality of millimeter-wave (mmWave) communication systems has proven effective in reducing the attack surface against eavesdropping, thus improving the physical layer security. However, even with highly directional beams, the system is still exposed to eavesdropping against adversaries located within the main lobe. In this paper, we propose BeamSec, a solution to protect the users even from adversaries located in the main lobe. The key feature of BeamSec are: (i) Operating without the knowledge of eavesdropper’s location/channel; (ii) Robustness against colluding eavesdropping attack and (iii) Standard compatibility, which we prove using experiments via our IEEE 802.11ad/ay-compatible 60 GHz phased-array testbed. Methodologically, BeamSec first identifies uncorrelated and diverse beampairs between the transmitter and receiver by analyzing signal characteristics available through standard-compliant procedures. Next, it encodes the information jointly over all selected beampairs to minimize information leakage. We study two methods for allocating transmission time among different beams, namely uniform allocation (no knowledge of the wireless channel) and optimal allocation for maximization of the secrecy rate (with partial knowledge of the wireless channel). Our experiments show that BeamSec outperforms the benchmark schemes against single and colluding eavesdroppers and enhances the secrecy rate by 79.8% over a random paths selection benchmark. |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Sichere Mobile Netze 20 Department of Computer Science > Wireless Communication and Sensing Lab (WISE) |
Date Deposited: | 08 Nov 2023 13:33 |
Last Modified: | 05 Dec 2023 10:40 |
PPN: | 513671374 |
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