Injecting Reliable Radio Frequency Fingerprints Using Metasurface for The Internet of Things

TL;DR

This paper introduces MeRFFI, a metasurface-based method to inject reliable radio frequency fingerprints into IoT devices, enhancing security with minimal overhead and compatibility with existing authentication schemes.

Contribution

The paper presents a novel metasurface-based technique for injecting RF fingerprints into IoT devices, improving reliability and security over traditional RFF methods.

Findings

Feasibility of fingerprint injection across various distances and orientations

Enhanced security against physical layer attacks

Low-cost metasurface implementation successfully integrated

Abstract

In Internet of Things, where billions of devices with limited resources are communicating with each other, security has become a major stumbling block affecting the progress of this technology. Existing authentication schemes-based on digital signatures have overhead costs associated with them in terms of computation time, battery power, bandwidth, memory, and related hardware costs. Radio frequency fingerprint (RFF), utilizing the unique device-based information, can be a promising solution for IoT. However, traditional RFFs have become obsolete because of low reliability and reduced user capability. Our proposed solution, Metasurface RF-Fingerprinting Injection (MeRFFI), is to inject a carefully-designed radio frequency fingerprint into the wireless physical layer that can increase the security of a stationary IoT device with minimal overhead. The injection of fingerprint is implemented using a low cost metasurface developed and fabricated in our lab, which is designed to make small but detectable perturbations in the specific frequency band in which the IoT devices are communicating. We have conducted comprehensive system evaluations including distance, orientation, multiple channels where the feasibility, effectiveness, and reliability of these fingerprints are validated. The proposed MeRFFI system can be easily integrated into the existing authentication schemes. The security vulnerabilities are analyzed for some of the most threatening wireless physical layer-based attacks.