BeamSec

A Practical mmWave Physical Layer Security Scheme Against Strong Adversaries

Conference Paper (2023)
Author(s)

Afifa Ishtiaq (Technische Universität Darmstadt)

Arash Asadi (Technische Universität Darmstadt)

Ladan Khaloopour (Technische Universität Darmstadt)

Waqar Ahmed (Technische Universität Darmstadt)

Vahid Jamali (Technische Universität Darmstadt)

Matthias Hollick (Technische Universität Darmstadt)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/CNS59707.2023.10289003
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Publication Year
2023
Language
English
Affiliation
External organisation
ISBN (electronic)
9798350339451

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.

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