Abstract

Wi‐Fi device authentication is crucial for defending against impersonation attacks and information forgery attacks. Most of the existing authentication technologies rely on complex cryptographic algorithms. However, they cannot be supported well on the devices with limited hardware resources. A fine‐grained device authentication technology based on channel state information (CSI) provides a noncryptographic method, which uses the CSI fingerprints for authentication since CSI can uniquely identify the devices. But long‐term authentication based on CSI fingerprints is a challenging work. First, the CSI fingerprints are environment‐sensitive, which means that the local authenticator should be updated to adapt to the changing channel state. Second, the local authenticator trained with old CSI fingerprints is outdated when users reconnect to the network after being offline for a long time, thus, it needs to be retrained in the access phase with new fingerprints. To tackle these challenges, we propose a CSI‐based enhancing Wi‐Fi device authentication protocol and an authentication framework. The protocol helps to collect new CSI fingerprints for authenticator’s training in access phase and performs the fingerprints’ dispersion analysis for authentication. In the association phase, it provides packet‐level authentication and updates the authenticator with valid CSI fingerprints. The authenticator consists of an ensemble of small‐scale autoencoders, which has high enough time efficiency for packet‐level authentication and authenticator’s update. Experiments show that the accuracy of the framework is up to 98.7%, and the authenticator updating method can help the framework maintains high accuracy.

Highlights

  • Nowadays, Wi-Fi has become one of the most important wireless associated technologies [1]

  • We propose an enhanced Wi-Fi device authentication protocol based on channel state information (CSI) and authentication framework

  • The main contributions of this paper are as follows: (i) We propose an enhancing Wi-Fi device authentication protocol based on CSI, including the authentication procedure in access phase and association phase

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Summary

Introduction

Wi-Fi has become one of the most important wireless associated technologies [1]. Most of the CSI-based authentication technologies use large-scale neural networks such as ANN and CNN for fingerprint matching Clustering algorithms such as K-means and SVM with high computational complexity are used in authentication. (i) We propose an enhancing Wi-Fi device authentication protocol based on CSI, including the authentication procedure in access phase and association phase It combines our authentication technology with the Wi-Fi communication protocol so that it can be applied in the existing Wi-Fi networks (ii) We develop a Wi-Fi device authentication framework. It offers packet-level authentication service and updates the authenticator to make it fits the current channel state (iii) We present an authentication method based on the CSI measurements’ dispersion degree in access phase.

Related Work
Framework Overview
Authentication Leveraging CSI Fingerprints
Authentication Scheme in Access Phase
The CSI-Based Authentication Protocol
Performance Evaluation
Findings
Conclusion
Full Text
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