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Small size IoT Device Monitoring System Modeling applying DEVS methodology

  • Lee, Se-Han (Dept. of Computer Science & Engineering, Korea University of Technology and Education) ;
  • Seo, Hee-Suk (Dept. of Computer Science & Engineering, Korea University of Technology and Education) ;
  • Choi, Yo-Han (Dept. of Computer Science & Engineering, Korea University of Technology and Education)
  • Received : 2017.12.15
  • Accepted : 2018.02.02
  • Published : 2018.02.28

Abstract

In this paper, we propose a Designed and Developed home router management system. Through the fourth industrial revolution and development of IoT technology, now people can experience a wide range of IoT related services at their workplace or daily lives. At the industrial site, IoT devices are used to improve productivity such as factory automation, and at home, IoT technology is used to control home appliances from a remote distance. Usually IoT device is integrated and controlled by the router. Home router connects different IoT devices together at home, however when security issues arise, it can invade personal privacy. Even though these threats exist, the perception for home router security is still insufficient. In this paper, we have designed and developed home router management system using DEVS methodology to promote the safe use of home router. Through the DEVS methodology, we have designed the system and developed the mobile application. This management system enables users to set up security options for home router easily.

Keywords

References

  1. Bharadia, Dinesh, et al. "Backfi: High throughput wifi backscatter." ACM SIGCOMM Computer Communication Review 45.4, pp.283-296. 2015 https://doi.org/10.1145/2829988.2787490
  2. Joosang Youn, Hun Choi, "CoAP-based Reliable Message Transmission Scheme in IoT Environments" Journal of the Korea Society of Computer and Information 21, pp.79-84, jun, 2016
  3. Jun Jong Am, Kim Nae Soo, Park Jeong Kil, Park Tae Jun, Kang Ho Yong, "IoT device products and technology trends," The Journal of The Korean Institute of Communication Sciences 31(4), pp.44-52, Mar. 2014.
  4. Jie, Y., Pei, J. Y., Jun, L., Yun, G., & Wei, X. "Smart home system based on iot technologies." Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on (pp. 1789-1791). IEEE.
  5. Yoon-Hwan Shin, "A Study on the Security Technology of Real-time Biometric Data in IoT Environment" Journal of the Korea Society of Computer and Information 21, pp.79-84, jun, 2016
  6. http://www.boannews.com/media/view.asp?idx=52023
  7. Kang Nam Hee, "Standard Technology Trends for Internet Security of Things," The Journal of The Korean Institute of Communication Sciences 31(9), pp.40-45, Aug. 2014.
  8. Namje Park, "Analysis of Privacy Weakness and Protective Countermeasures in Smart Grid Environment," Journal of Korean Institute of Information Technology 8(9), pp. 189-197, Sep. 2010.
  9. Nguyen, K. T. and Lauret, M., and Oualha, N. "Survey on Secure Communication Protocols for the Internet of Things," Ad Hoc Networks 32, 2015
  10. Si-Jung Kim, Do-Eun Cho, "Technology Trends for IOT Security", The Korea Contents Association Review 13(1), pp.31-35, Mar. 2015.
  11. http://www.ddaily.co.kr/news/article.html?no=151522