Experimental and theoretical study on physical layer authentication for IoT systems

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K19801
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 60070:Information security-related
• Research Institution: Toyo University
• Principal Investigator: ZHU Jinxiao 東洋大学, 情報連携学部, 助教 (30754329)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 物理層認証 / 無線通信 / セキュリティ / デバイス識別

Outline of Final Research Achievements

With the wide application of internet of things (IoT), setting up an effective authentication system in those networks becomes overwhelming difficult yet urgent. To solve the authentication issue, this project focused on studying radiometric features generated by wireless devices for device authentication from both experimental and theoretical aspects. Specifically, we constructed an experiment system, collected raw radiometric feature data of wireless devices from the system, and designed several identification schemes with the data for device authentication. About the identification schemes, we explored two main approaches: identification with hand-crafted radiometric feature and identification with automatically-generated radiometric feature by deep learning algorithms. Finally, the efficiency of the proposed identification schemes have been verified by experiment and simulation studies.

Free Research Field

ネットワークセキュリティ

Academic Significance and Societal Importance of the Research Achievements

本研究の目的は，IoTネットワークにおける無線機器認証の課題を解決することである．従来の認証方法では，無線機器の身分情報を暗号鍵で暗号化して認証を行っていましたが，IoTでは膨大な数の無線機器に対して鍵の配布や管理が非常に困難である．本研究では，暗号鍵を使わない物理層認証方法を研究した．具体的には，実験システムを構築し，人間の指紋のようなデバイス指紋を研究開発して実験システムでその有効性を示した．