통합자연과학논문집 (Journal of Integrative Natural Science)

조선대학교 기초과학연구원 (The Basic Science Institute Chosun University)
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Development of a Hybrid Recognition System Using Biometrics to Manage Smart Devices based on Internet of Things

  • Ban, Ilhak (Department of Computer Science & Statics, Chosun University) ;
  • Jo, Seonghun (Department of Computer Science & Statics, Chosun University) ;
  • Park, Haneum (Department of Computer Science & Statics, Chosun University) ;
  • Um, Junho (Department of Computer Science & Statics, Chosun University) ;
  • Kim, Se-Jin (Department of Computer Science & Statics, Chosun University)
  • 투고 : 2018.09.13
  • 심사 : 2018.09.17
  • 발행 : 2018.09.30
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초록

In this paper, we propose a hybrid-recognition system to obtain the state information and control the Internet of Things (IoT) based smart devices using two recognitions. First, we use a facial recognition for checking the owner of the mobile devices, i.e., smartphones, tablet PCs, and so on, and obtaining the state information of the IoT based smart devices, i.e., smart cars, smart appliance, and so on, and then we use a fingerprint recognition to control them. Further, in the conventional system, the message of the state and control information between the mobile devices and smart devices is only exchanged through the cellar mobile network. Thus, we also propose a direct communication to reduce the total transmission time. In addition, we develop a testbed of the proposed system using smartphones, desktop computers, and Arduino vehicle as one of the smart devices. We evaluate the total transmission time between the conventional and direct communications and show that the direct communication with the proposed system has better performance.

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참고문헌

  1. DOCOMO 5G White Paper, "5g radio access: Requirements, concepts and technologies," Tech. Rep. 2014.
  2. Singh, D., et al. (2014). A survey of Internet-of-Things: Future vision, architecture, challenges and services. Internet of Things (WF-IoT), 2014 IEEE World Forum on.
  3. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of things (iot): A vision, architectural elements, and future directions," Future generation computer systems, Vol. 29, pp. 1645-1660, 2013. https://doi.org/10.1016/j.future.2013.01.010
  4. I. Lee and K. Lee, "The internet of things (iot): Applications, investments, and challenges for enterprises," Business Horizons, Vol. 58, pp. 431-440, 2015. https://doi.org/10.1016/j.bushor.2015.03.008
  5. Zanella, A.; Bui, N.; Castellani, A.; Vangelista, L.; Zorzi, M., "Internet of Things for Smart Cities," IEEE Internet of Things Journal, Vol. 1, pp. 22, 32, Feb. 2014.
  6. Boban Davidovic, Aleksandra Labus, "A SMART HOME SYSTEM BASED ON SENSOR TECHNOLOGY", Electronics and Energetics Vol. 29, September 2016, pp. 451-460
  7. Geng Yang; Li Xie; Mantysalo, M.; Xiaolin Zhou; Zhibo Pang; Li Da Xu; Kao-Walter, S.; Qiang Chen; Li-rong Zheng, "A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box," Industrial Informatics, IEEE Transactions on, Vol. 10, pp. 2180, 2191, Nov. 2014.
  8. 3GPP TR 22.885, "Study on LTE support for Vehicle to Everything (V2X) services," 2015.
  9. Kothmayr, T., Schmitt, C., Hu, W., Brunig, M., & Carle, G. (2012, October). A DTLS based end-toend security architecture for the Internet of Things with two-way authentication. In Local Computer Networks Workshops (LCN Workshops), 2012 IEEE 37th Conference on (pp. 956-963). IEEE.
  10. M. Abomhara, G. M. Koien, "Security and privacy in the internet of things: Current status and open issues", 2014 International Conference on Privacy and Security in Mobile Systems (PRISMS), pp. 1-8, 2014.
  11. A. Iqbal, R. Saleem, and M. Suryani, "Internet of Things (IOT): on going Security Challenges and Risks," International Journal of Computer Science and Information Security, Vol. 14, pp. 671, 2016.
  12. C. Maple, "Security and privacy in the internet of things," J. Cyber Policy, Vol. 2, pp. 155-184, 2017. https://doi.org/10.1080/23738871.2017.1366536
  13. N. K. Ratha, J. H. Connell, and R. M. Bolle, "Enhancing security and privacy in biometricsbased authentication systems", IBM Systems Journal, Vol. 40, 2001.
  14. Shweta Gaur, V.A.Shah, Manish Thakker, "Biometric Recognition Techniques: A Review", IJARE, Vol. 1, Issue 4, October 2012.
  15. Kirti V. Awalkar, Sanjay G. Kanade, Dattatray V. Jadhav, TSSM's BSCOER, Narhe, Pune, Maharashtra, India. "A Multi-modal and Multialgorithmic Biometric System Combining Iris and Face", 2015 IEEE International Conference on Information Processing (ICIP) Vishwakarma Institute of Technology. Dec 16-19, IEEE 2015.
  16. A. JameerBasha, V. Palanisamy, T. Purusothaman, "Efficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris Features", JCS, 2011.
  17. https://www.arduino.cc/en/Guide/Introduction
  18. White paper - Small Cell Backhaul Performance Assurance
  19. Z. Li and M. Wilson, "User Plane and Control Plane Separation Framework for Home Base Stations," Fujitsu Sc.Technol. J, Vol. 46, pp. 79-86, 2010.