Arraymetrics: Authentication Through Chaotic Antenna Array Geometries

TL;DR

This paper introduces a novel multi-factor authentication method leveraging chaotic antenna array geometries and signal sequences, enhancing security by physically perturbing antenna configurations and detecting these changes through channel estimation.

Contribution

It presents a new authentication approach using perturbed antenna array geometries combined with cryptographic signals, and analyzes detection accuracy based on physical and signal parameters.

Findings

Achieves less than 1% missed authentication rate.

Can maintain 1% false authentication rate at 10 dB SNR.

Demonstrates feasibility of physical perturbation detection for authentication.

Abstract

Advances in computing have resulted in an emerging need for multi-factor authentication using an amalgamation of cryptographic and physical keys. This letter presents a novel authentication approach using a combination of signal and antenna activation sequences, and most importantly, perturbed antenna array geometries. Possible degrees of freedom in perturbing antenna array geometries affected physical properties and their detection are presented. Channel estimation for the plurality of validly authorized arrays is discussed. Accuracy is investigated as a function of signal-to-noise ratio (SNR) and number of authorized arrays. It is observed that the proposed authentication scheme can provide 1% false authentication rate at 10 dB SNR, while it is achieving less than 1% missed authentication rates.