International Conference on Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications, and Worksharing pp 129-140 | Cite as

NFV: Near Field Vibration Based Group Device Pairing

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 163)

Abstract

In this paper, we propose a group device pairing system called NFV to enable group communication using mobile device equipped with motion sensors. A group of people put their mobile devices on the table and wait for a secure connection. We propose a vibration-propagation based key delivery scheme to transmit a secure connection key among a group of trusted mobile devices. Based on this key, group users establish a confidential communication channel between their devices. NFV achieves group devices pairing without the complex operations needed in prior works. We implemented NFV using off-the-shelf Android smartphones. The experimental results shows the efficiency and security of our system.

Keywords

Vibration channel Accelerometer Pulse-width modulation Ad hoc group pairing 

References

  1. 1.
    Zhang, Z., Chu, D., Chen, X., Moscibroda, T.: Swordfight: enabling a new class of phone-to-phone action games on commodity phones. In: ACM MobiSys 2012 (2012)Google Scholar
  2. 2.
    Liu, F., Shu, P., Jin, H., Ding, L., Yu, J., Niu, D., Li, B.: Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. IEEE Wirel. Commun. 20(3), 14–22 (2013)CrossRefGoogle Scholar
  3. 3.
    Liu, F., Shu, P., Lui, J.: Appatp: an energy conserving adaptive mobile-cloud transmission protocol (2015)Google Scholar
  4. 4.
    Sun, Z., Purohit, A., Bose, R., Zhang, P.: ACM MobiSys 2013 (2013)Google Scholar
  5. 5.
    Peng, C., Shen, G., Zhang, Y., Lu, S.: Point & connect: intention-based device pairing for mobile phone users. In: ACM MobiSys 2009 (2009)Google Scholar
  6. 6.
    Goodrich, M.T., Sirivianos, M., Solis, J., Tsudik, G., Uzun, E.: Loud and clear: human-verifiable authentication based on audio. In: IEEE ICDCS 2006 (2006)Google Scholar
  7. 7.
    Hinckley, K.: Synchronous gestures for multiple persons and computers. In: ACM UIST 2003 (2003)Google Scholar
  8. 8.
    Barton, S.: Programmable notifications for a mobile device. US Patent App. 11/116,860, 28 April 2005Google Scholar
  9. 9.
    Hansson, R., Ljungstrand, P., Redström, J.: Subtle and public notification cues for mobile devices. In: Abowd, G.D., Brumitt, B., Shafer, S. (eds.) Ubicomp 2001. LNCS, vol. 2201, pp. 240–246. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  10. 10.
    Poupyrev, I., Maruyama, S., Rekimoto, J.: Ambient touch: designing tactile interfaces for handheld devices. In: ACM UIST 2002 (2002)Google Scholar
  11. 11.
    Li, K.A., Sohn, T.Y., Huang, S., Griswold, W.G.: Peopletones: a system for the detection and notification of buddy proximity on mobile phones. In: ACM MobiSys 2008 (2008)Google Scholar
  12. 12.
    Rekimoto, J., Ayatsuka, Y., Kohno, M.: SyncTap: an interaction technique for mobile networking. In: Chittaro, L. (ed.) Mobile HCI 2003. LNCS, vol. 2795, pp. 104–115. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  13. 13.
    Varshavsky, A., Scannell, A., LaMarca, A., de Lara, E.: Amigo: proximity-based authentication of mobile devices. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 253–270. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  14. 14.
    Rukzio, E., Leichtenstern, K., Callaghan, V., Holleis, P., Schmidt, A., Chin, J.: An experimental comparison of physical mobile interaction techniques: touching, pointing and scanning. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 87–104. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Gupta, S., Morris, D., Patel, S., Tan, D.: Soundwave: using the doppler effect to sense gestures. In: ACM CHI 2012 (2012)Google Scholar
  16. 16.
    Mayrhofer, R., Gellersen, H.-W.: Shake well before use: authentication based on accelerometer data. In: LaMarca, A., Langheinrich, M., Truong, K.N. (eds.) Pervasive 2007. LNCS, vol. 4480, pp. 144–161. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  17. 17.
    Sun, Z., Purohit, A., Chen, K., Pan, S., et al.: Pandaa: physical arrangement detection of networked devices through ambient-sound awareness. In: ACM Ubicomp 2011 (2011)Google Scholar
  18. 18.
    Sun, Z., Purohit, A., Pan, S., Mokaya, F., et al.: Polaris: getting accurate indoor orientations for mobile devices using ubiquitous visual patterns on ceilings. In: ACM MCSA 2012 (2012)Google Scholar
  19. 19.
    Azizyan, M., Constandache, I., Roy Choudhury, R.: Surroundsense: mobile phone localization via ambience fingerprinting. In: ACM MobiCom 2009 (2009)Google Scholar
  20. 20.
    Miluzzo, E., Lane, N.D., Fodor, K., et al.: Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. In: ACM SenSys 2008 (2008)Google Scholar
  21. 21.
    Lu, H., Pan, W., Lane, N.D., Choudhury, T., Campbell, A.T.: Soundsense: scalable sound sensing for people-centric applications on mobile phones. In: ACM MobiSys 2009 (2009)Google Scholar
  22. 22.
    Nirjon, S., Dickerson, R.F., Asare, P., Li, Q., Hong, D., et al.: Auditeur: a mobile-cloud service platform for acoustic event detection on smartphones. In: ACM MobiSys 2013 (2013)Google Scholar
  23. 23.
    Shu, P., Liu, F., Jin, H., Chen, M., Wen, F., Qu, Y.: etime: energy-efficient transmission between cloud and mobile devices. In: Proceedings IEEE on INFOCOM 2013, pp. 195–199. IEEE (2013)Google Scholar
  24. 24.
    Mohan, P., Padmanabhan, V.N., Ramjee, R.: Nericell: rich monitoring of road and traffic conditions using mobile smartphones. In: ACM SenSys 2008 (2008)Google Scholar
  25. 25.
    Hao, T., Xing, G., Zhou, G.: iSleep: unobtrusive sleep quality monitoring using smartphones. In: ACM SenSys 2008 (2008)Google Scholar
  26. 26.
    Rana, R.K., Chou, C.T., Kanhere, S.S., Bulusu, N., Hu, W.: Ear-phone: an end-to-end participatory urban noise mapping system. In: ACM IPSN 2010 (2010)Google Scholar

Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Zhiping Jiang
    • 1
  • Jinsong Han
    • 1
  • Wei Xi
    • 1
  • Jizhong Zhao
    • 1
  1. 1.Xi’an Jiaotong UniversityXi’anChina

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