Open Access

ARTICLE

A Secure Device Management Scheme with Audio-Based Location Distinction in IoT

Haifeng Lin^1,2, Xiangfeng Liu², Chen Chen², Zhibo Liu², Dexin Zhao³, Yiwen Zhang⁴, Weizhuang Li⁴, Mingsheng Cao^5,6,*

1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
2 Chengdu Aircraft Industrial (Group) Co., Ltd., Chengdu, 610073, China
3 Academy of Military Sciences of PLA, Beijing, 100091, China
4 School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
5 Ningbo WebKing Technology Joint Stock Co., Ltd., Ningbo, 315000, China
6 The Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610054, China

* Corresponding Author: Mingsheng Cao. Email:

(This article belongs to the Special Issue: Information Security Practice and Experience: Advances and Challenges)

Computer Modeling in Engineering & Sciences 2024, 138(1), 939-956. https://doi.org/10.32604/cmes.2023.028656

Received 30 December 2022; Accepted 05 May 2023; Issue published 22 September 2023

Abstract

Identifying a device and detecting a change in its position is critical for secure devices management in the Internet of Things (IoT). In this paper, a device management system is proposed to track the devices by using audio-based location distinction techniques. In the proposed scheme, traditional cryptographic techniques, such as symmetric encryption algorithm, RSA-based signcryption scheme, and audio-based secure transmission, are utilized to provide authentication, non-repudiation, and confidentiality in the information interaction of the management system. Moreover, an audio-based location distinction method is designed to detect the position change of the devices. Specifically, the audio frequency response (AFR) of several frequency points is utilized as a device signature. The device signature has the features as follows. (1) Hardware Signature: different pairs of speaker and microphone have different signatures; (2) Distance Signature: in the same direction, the signatures are different at different distances; and (3) Direction Signature: at the same distance, the signatures are different in different directions. Based on the features above, a movement detection algorithm for device identification and location distinction is designed. Moreover, a secure communication protocol is also proposed by using traditional cryptographic techniques to provide integrity, authentication, and non-repudiation in the process of information interaction between devices, Access Points (APs), and Severs. Extensive experiments are conducted to evaluate the performance of the proposed method. The experimental results show that the proposed method has a good performance in accuracy and energy consumption.

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Keywords

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