skip to main content
10.1145/3177102.3177108acmconferencesArticle/Chapter ViewAbstractPublication PageshotmobileConference Proceedingsconference-collections
research-article
Public Access

UniverSense: IoT Device Pairing through Heterogeneous Sensing Signals

Published: 12 February 2018 Publication History

Abstract

Easily establishing pairing between Internet-of-Things (IoT) devices is important for fast deployment in many smart home scenarios. Traditional pairing methods, including passkey, QR code, and RFID, often require specific user interfaces, surface's shape/material, or additional tags/readers. The growing number of low-resource IoT devices without an interface may not meet these requirements, which makes their pairing a challenge. On the other hand, these devices often already have sensors embedded for sensing tasks, such as inertial sensors. These sensors can be used for limited user interaction with the devices, but are not suitable for pairing on their own.
In this paper, we present UniverSense, an alternative pairing method between low-resource IoT devices with an inertial sensor and a more powerful networked device equipped with a camera. To establish pairing between them, the user moves the low-resource IoT device in front of the camera. Both the camera and the on-device sensors capture the physical motion of the low-resource device. UniverSense converts these signals into a common state-space to generate fingerprints for pairing. We conduct real-world experiments to evaluate UniverSense and it achieves an F1 score of 99.9% in experiments carried out by five participants.

References

[1]
J. G. Allen, R. Y. Xu, and J. S. Jin. Object tracking using camshift algorithm and multiple quantized feature spaces. In Proceedings of the Pan-Sydney area workshop on Visual information processing, pages 3--7. Australian Computer Society, Inc., 2004.
[2]
M. Baldauf, M. Salo, S. Suette, and P. Fröhlich. The screen is yours-comparing handheld pairing techniques for public displays. In International Joint Conference on Ambient Intelligence. Springer, 2013.
[3]
A. Bannis and J. A. Burke. Creating a secure, integrated home network of things with named data networking, 2015.
[4]
Bitcraze, AB. Crazyflie 2.0, 2016.
[5]
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh. Realtime multi-person 2d pose estimation using part affinity fields. In CVPR, 2017.
[6]
C. Chen, K. Liu, R. Jafari, and N. Kehtarnavaz. Home-based senior fitness test measurement system using collaborative inertial and depth sensors. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pages 4135--4138. IEEE, 2014.
[7]
J. Farrell and M. Barth. The global positioning system and inertial navigation, volume 61. McGraw-Hill New York, NY, USA:, 1999.
[8]
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 580--587, 2014.
[9]
Gruman, Galen. IoT silliness: 'Headless' devices without a UI., 2015. https://www.infoworld.com/article/2867356/internet-of-things/beware-this-iot-fallacy-the-headless-device.html.
[10]
J. Han, M. Harishankar, X. Wang, A. J. Chung, and P. Tague. Convoy: Physical context verification for vehicle platoon admission. In Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, pages 73--78. ACM, 2017.
[11]
J. F. Henriques, R. Caseiro, P. Martins, and J. Batista. High-speed tracking with kernelized correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(3):583--596, 2015.
[12]
Joseph Palenchar. Security Cameras Lead Smart-Home Adoption. http://www.twice.com/news/statistics/security-cameras-lead-smart-home-adoption/61081.
[13]
L. Kriara, M. Alsup, G. Corbellini, M. Trotter, J. D. Griffin, and S. Mangold. Rfid shakables: Pairing radio-frequency identification tags with the help of gesture recognition. In Proceedings of the ninth ACM conference on Emerging networking experiments and technologies, pages 327--332. ACM, 2013.
[14]
S. Madgwick. An efficient orientation filter for inertial and inertial/magnetic sensor arrays. Report x-io and University of Bristol (UK).
[15]
J. Martin, T. Mayberry, C. Donahue, L. Foppe, L. Brown, C. Riggins, E. C. Rye, and D. Brown. A study of mac address randomization in mobile devices and when it fails. arXiv preprint arXiv:1703.02874, 2017.
[16]
MetaSensor Inc. Meet Sensor-1, The security system that fits in the palm of your hand., 2017. https://www.metasensor.com/.
[17]
M. Miettinen, N. Asokan, T. D. Nguyen, A.-R. Sadeghi, and M. Sobhani. Context-based zero-interaction pairing and key evolution for advanced personal devices. In Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, pages 880--891. ACM, 2014.
[18]
P. Neto, J. N. Pires, and A. P. Moreira. 3-d position estimation from inertial sensing: minimizing the error from the process of double integration of accelerations. In Industrial Electronics Society, IECON 2013--39th Annual Conference of the IEEE, pages 4026--4031. IEEE, 2013.
[19]
Networking, Cisco Visual. Cisco global cloud index: forecast and methodology, 2015--2020. white paper, 2017.
[20]
L. T. Nguyen, Y. S. Kim, P. Tague, and J. Zhang. Identitylink: user-device linking through visual and rf-signal cues. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 529--539. ACM, 2014.
[21]
Notion Inc. Home awareness, simplified. Monitor your home with a single sensor, wherever you are., 2017. http://getnotion.com/.
[22]
T. J. Pierson, X. Liang, R. Peterson, and D. Kotz. Wanda: securely introducing mobile devices. In The 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016, pages 1--9. IEEE, 2016.
[23]
S. Ren, K. He, R. Girshick, and J. Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems, pages 91--99, 2015.
[24]
J. Riekki, T. Salminen, and I. Alakarppa. Requesting pervasive services by touching rfid tags. IEEE Pervasive computing, 5(1):40--46, 2006.
[25]
Samsung Inc. Use gesture control with the latest Smart Interaction., 2017. http://www.samsung.com/uk/tv-accessories/tv-camera-stc5000/.
[26]
Samsung Inc. The easiest way to turn your home into a smart home., 2018. https://www.samsung.com/us/smart-home/smartthings/.
[27]
A. Savitzky and M. J. Golay. Smoothing and differentiation of data by simplified least squares procedures. Analytical chemistry, 36(8), 1964.
[28]
A. Studer, T. Passaro, and L. Bauer. Don't bump, shake on it: The exploitation of a popular accelerometer-based smart phone exchange and its secure replacement. In Proceedings of the 27th Annual Computer Security Applications Conference, pages 333--342. ACM, 2011.
[29]
C. T. Zenger, M. Pietersz, J. Zimmer, J.-F. Posielek, T. Lenze, and C. Paar. Authenticated key establishment for low-resource devices exploiting correlated random channels. Computer Networks, 109:105--123, 2016.
[30]
Z. Zhang. A flexible new technique for camera calibration. IEEE Transactions on pattern analysis and machine intelligence, 22(11), 2000.
[31]
C. Zhao, S. Yang, X. Yang, and J. A. McCann. Rapid, user-transparent, and trustworthy device pairing for d2d-enabled mobile crowdsourcing. IEEE Transactions on Mobile Computing, 16(7):2008--2022, 2017.

Cited By

View all
  • (2023)CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant SensingProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586960(96-109)Online publication date: 9-May-2023
  • (2023)Interpersonal Distance Tracking with mmWave Radar and IMUsProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586958(123-135)Online publication date: 9-May-2023
  • (2022)Generating Device Fingerprints for Smart Device Pairing Using the Unique Spectrum Characteristic From LEDsSecurity, Data Analytics, and Energy-Aware Solutions in the IoT10.4018/978-1-7998-7323-5.ch007(111-124)Online publication date: 2022
  • Show More Cited By

Index Terms

  1. UniverSense: IoT Device Pairing through Heterogeneous Sensing Signals

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      HotMobile '18: Proceedings of the 19th International Workshop on Mobile Computing Systems & Applications
      February 2018
      130 pages
      ISBN:9781450356305
      DOI:10.1145/3177102
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 February 2018

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. heterogeneous sensing
      2. internet-of-things
      3. pairing

      Qualifiers

      • Research-article

      Funding Sources

      Conference

      HotMobile '18
      Sponsor:

      Acceptance Rates

      HotMobile '18 Paper Acceptance Rate 19 of 65 submissions, 29%;
      Overall Acceptance Rate 96 of 345 submissions, 28%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)102
      • Downloads (Last 6 weeks)24
      Reflects downloads up to 05 Mar 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2023)CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant SensingProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586960(96-109)Online publication date: 9-May-2023
      • (2023)Interpersonal Distance Tracking with mmWave Radar and IMUsProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586958(123-135)Online publication date: 9-May-2023
      • (2022)Generating Device Fingerprints for Smart Device Pairing Using the Unique Spectrum Characteristic From LEDsSecurity, Data Analytics, and Energy-Aware Solutions in the IoT10.4018/978-1-7998-7323-5.ch007(111-124)Online publication date: 2022
      • (2022)AutoLoc: Autonomous Sensor Location Configuration via Cross Modal SensingFrontiers in Big Data10.3389/fdata.2022.8359495Online publication date: 28-Mar-2022
      • (2022)SafeGaitProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346076:2(1-27)Online publication date: 7-Jul-2022
      • (2022)AEROKEYProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35172546:1(1-29)Online publication date: 29-Mar-2022
      • (2022)MAIDE: Augmented Reality (AR)-facilitated Mobile System for Onboarding of Internet of Things (IoT) Devices at EaseACM Transactions on Internet of Things10.1145/35066673:2(1-21)Online publication date: 15-Feb-2022
      • (2022)TEOProceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services10.1145/3498361.3539774(302-315)Online publication date: 27-Jun-2022
      • (2022)Eolo: IoT Proximity-based Authentication via Pressure Correlated Variations2022 IEEE Conference on Communications and Network Security (CNS)10.1109/CNS56114.2022.9947258(109-117)Online publication date: 3-Oct-2022
      • (2022)WB-GWS: An IoT-Oriented Lightweight Gateway System Based on White-Box CryptographyApplied Cryptography in Computer and Communications10.1007/978-3-031-17081-2_3(29-45)Online publication date: 6-Oct-2022
      • Show More Cited By

      View Options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      EPUB

      View this article in ePub.

      ePub

      Login options

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media