Enabling secure touch-To-Access device pairing based on human body's electrical response

Yao Wang, Tao Gu, Yu Zhang, Minjie Lyu, Tom H. Luan, Hui Li

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Recent efforts in reducing user involvement during device pairing have successfully introduced touch-to-access. To detect whether two devices are being held by the same person, existing touch-to-access solutions extract features from a shared information source to generate pairing keys. They focus on validating the device's authenticity by only requiring the user's simple touching of the device, however, ignore the device holder's legitimacy and pairing intent. Moreover, the pairing keys may be vulnerable to eavesdropping attacks since they are exchanged over an open wireless link (e.g., WiFi or Bluetooth). In this paper, we develop a secure device pairing mechanism that essentially uses the human body to generate and transmit user-specific pairing keys, ensuring the user's legitimacy and pairing intent, as well as improving key transmission reliability. Our work is based on the observation that the human body produces a unique response to the electrical signal flowing through it, and different bodies induce distinct responses to the signal. The built-in microphone on devices captures ambient sound as an entropy source and converts it into an electrical signal, which is subsequently processed and transmitted by the human body for device pairing. We build a prototype using off-The-shelf microphones and conduct extensive experiments with 31 participants to evaluate its security performance and usability. The results show that our system achieves a pairing success rate of 97.74% and an equal error rate of 2.28%.

Original languageEnglish
Title of host publicationACM MobiCom 2022 - Proceedings of the 2022 28th Annual International Conference on Mobile Computing and Networking
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages556-569
Number of pages14
ISBN (Electronic)9781450391818
DOIs
Publication statusPublished - Oct 2022
Event28th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2022 - Sydney, Australia
Duration: 17 Oct 220221 Oct 2202

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
ISSN (Print)1543-5679

Conference

Conference28th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2022
Country/TerritoryAustralia
CitySydney
Period17/10/0221/10/02

Keywords

  • ambient sound
  • body electrical response
  • device pairing

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