Research Article
Enhancing Wi-Fi Device Authentication Protocol Leveraging Channel State Information
@INPROCEEDINGS{10.1007/978-3-030-89814-4_3, author={Bing Chen and Yubo Song and Tianqi Wu and Tianyu Zheng and Hongyuan Chen and Junbo Wang and Tao Li}, title={Enhancing Wi-Fi Device Authentication Protocol Leveraging Channel State Information}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Wi-Fi device authentication Channel state information (CSI) Local outlier factor (LOF) Wireless physical fingerprintfing}, doi={10.1007/978-3-030-89814-4_3} }- Bing Chen
Yubo Song
Tianqi Wu
Tianyu Zheng
Hongyuan Chen
Junbo Wang
Tao Li
Year: 2021
Enhancing Wi-Fi Device Authentication Protocol Leveraging Channel State Information
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_3
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 non-cryptographic method, which uses the fingerprint extracted from CSI for authentication since CSI can uniquely identify the device in a limited time. But maintaining a fingerprint database for fingerprint matching is a challenging work. Firstly, the fingerprints extracted from the CSI are time-sensitive, which means that the fingerprint database must be updated in real time; Secondly, the authentication device may collect false fingerprints under the attack of identity-based attackers, which means that the authenticity of the fingerprint used to update the database must be checked. In this paper, we propose an enhancing Wi-Fi device authentication protocol based on CSI to implement the fingerprint database update and the device authentication. We provide a viable method of database update and an authentication algorithm based on Local Outlier Factor (LOF). We also present a complete authentication process. In addition, we evaluate the performance of our CSI-based authentication algorithm and database updating method. The experiments showed that the accuracy of the authentication algorithm is up to 97.1% and our database updating method can help the system maintain high accuracy.
