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Inaudible acoustic signal based key agreement system for IoT devices: poster abstract

Published:16 November 2020Publication History

ABSTRACT

Secure Device-to-Device (D2D) communication is becoming increasingly important with the ever-growing number of Internet-of-Things (IoT) devices in our daily life. To achieve secure D2D communication, the key agreement between different IoT devices without any prior knowledge is becoming desirable. Although various approaches have been proposed in the literature, they suffer from a number of limitations, such as low key generation rate and short pairing distance. In this paper, we present an inaudible acoustic signal based key generation protocol for mobile devices. Based on acoustic channel reciprocity, our system exploits channel frequency response of two legitimate devices as a common secret to generate keys. Extensive experiments are conducted to evaluate the proposed system in different real environments. Evaluation results show that the proposed system can generate the same secret key for two mobile devices with high probability.

References

  1. Andrew Rukhin, Juan Soto, James Nechvatal, Miles Smid, and Elaine Barker. 2001. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Technical Report. Booz-Allen and Hamilton Inc Mclean Va.Google ScholarGoogle Scholar
  2. Wei Xi, Xiang-Yang Li, Chen Qian, Jinsong Han, Shaojie Tang, Jizhong Zhao, and Kun Zhao. 2014. KEEP: Fast secret key extraction protocol for D2D communication. In IWQoS. IEEE, 350--359.Google ScholarGoogle Scholar
  3. Pengjin Xie, Jingchao Feng, Zhichao Cao, and Jiliang Wang. 2018. GeneWave: Fast authentication and key agreement on commodity mobile devices. IEEE/ACM Transactions on Networking (TON) 26, 4 (2018), 1688--1700.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Inaudible acoustic signal based key agreement system for IoT devices: poster abstract

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      • Published in

        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

        Copyright © 2020 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 November 2020

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        Acceptance Rates

        Overall Acceptance Rate174of867submissions,20%

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