Towards secure device pairing via vibration detection

Zhenge Guo; Zhaobin Liu; Jizhong Zhao; Hui He; Meiya Dong

doi:10.1007/978-3-030-00021-9_17

Towards secure device pairing via vibration detection

Zhenge Guo
, Zhaobin Liu
, Jizhong Zhao
, Hui He
, Meiya Dong

Faculty of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore PVKE (Physical Vibration Keyless Entry), a novel pairing mechanism, through which users are able to utilize smart devices to detect a vibration from the smart watch, so as to use information from the vibration to deconstruct security keys. Thus, we perform device pairing without complicated operations. We show that the recognition accuracy of vibration key detection achieves 95% through solid experiments.

Original language	English
Title of host publication	Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers
Editors	Elisa Bertino, Xingming Sun, Zhaoqing Pan
Publisher	Springer Verlag
Pages	177-186
Number of pages	10
ISBN (Print)	9783030000202
DOIs	https://doi.org/10.1007/978-3-030-00021-9_17
State	Published - 2018
Event	4th International Conference on Cloud Computing and Security, ICCCS 2018 - Haikou, China Duration: 8 Jun 2018 → 10 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11068 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Cloud Computing and Security, ICCCS 2018
Country/Territory	China
City	Haikou
Period	8/06/18 → 10/06/18

Keywords

Device pairing
Key extraction
Vibration detection

Access to Document

10.1007/978-3-030-00021-9_17

Cite this

Guo, Z., Liu, Z., Zhao, J., He, H., & Dong, M. (2018). Towards secure device pairing via vibration detection. In E. Bertino, X. Sun, & Z. Pan (Eds.), Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers (pp. 177-186). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11068 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00021-9_17

Guo, Zhenge ; Liu, Zhaobin ; Zhao, Jizhong et al. / Towards secure device pairing via vibration detection. Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. editor / Elisa Bertino ; Xingming Sun ; Zhaoqing Pan. Springer Verlag, 2018. pp. 177-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{cce02576451d4b74ac17f3e6b8540f75,

title = "Towards secure device pairing via vibration detection",

abstract = "Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore PVKE (Physical Vibration Keyless Entry), a novel pairing mechanism, through which users are able to utilize smart devices to detect a vibration from the smart watch, so as to use information from the vibration to deconstruct security keys. Thus, we perform device pairing without complicated operations. We show that the recognition accuracy of vibration key detection achieves 95\% through solid experiments.",

keywords = "Device pairing, Key extraction, Vibration detection",

author = "Zhenge Guo and Zhaobin Liu and Jizhong Zhao and Hui He and Meiya Dong",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 4th International Conference on Cloud Computing and Security, ICCCS 2018 ; Conference date: 08-06-2018 Through 10-06-2018",

year = "2018",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Guo, Z, Liu, Z, Zhao, J, He, H & Dong, M 2018, Towards secure device pairing via vibration detection. in E Bertino, X Sun & Z Pan (eds), Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11068 LNCS, Springer Verlag, pp. 177-186, 4th International Conference on Cloud Computing and Security, ICCCS 2018, Haikou, China, 8/06/18. https://doi.org/10.1007/978-3-030-00021-9_17

Towards secure device pairing via vibration detection. / Guo, Zhenge; Liu, Zhaobin; Zhao, Jizhong et al.
Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. ed. / Elisa Bertino; Xingming Sun; Zhaoqing Pan. Springer Verlag, 2018. p. 177-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11068 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Guo, Zhenge

AU - Liu, Zhaobin

AU - Zhao, Jizhong

AU - He, Hui

AU - Dong, Meiya

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore PVKE (Physical Vibration Keyless Entry), a novel pairing mechanism, through which users are able to utilize smart devices to detect a vibration from the smart watch, so as to use information from the vibration to deconstruct security keys. Thus, we perform device pairing without complicated operations. We show that the recognition accuracy of vibration key detection achieves 95% through solid experiments.

AB - Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore PVKE (Physical Vibration Keyless Entry), a novel pairing mechanism, through which users are able to utilize smart devices to detect a vibration from the smart watch, so as to use information from the vibration to deconstruct security keys. Thus, we perform device pairing without complicated operations. We show that the recognition accuracy of vibration key detection achieves 95% through solid experiments.

KW - Device pairing

KW - Key extraction

KW - Vibration detection

UR - https://www.scopus.com/pages/publications/85054845094

U2 - 10.1007/978-3-030-00021-9_17

DO - 10.1007/978-3-030-00021-9_17

M3 - 会议稿件

AN - SCOPUS:85054845094

SN - 9783030000202

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 186

BT - Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers

A2 - Bertino, Elisa

A2 - Sun, Xingming

A2 - Pan, Zhaoqing

PB - Springer Verlag

T2 - 4th International Conference on Cloud Computing and Security, ICCCS 2018

Y2 - 8 June 2018 through 10 June 2018

ER -

Guo Z, Liu Z, Zhao J, He H, Dong M. Towards secure device pairing via vibration detection. In Bertino E, Sun X, Pan Z, editors, Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers. Springer Verlag. 2018. p. 177-186. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00021-9_17

Towards secure device pairing via vibration detection

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