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Secure Smart Safety System Using Streetlight Infrastructure
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 Title & Authors
Secure Smart Safety System Using Streetlight Infrastructure
Cha, Jeong-Hwa; Lee, Ju-Yong; Lee, Ji-Hoon;
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As crime has actually increased in recent years, various mobile applications related to safety and emergency measure have received much attention. Therefore, IoT (Internet of Things) technologies, which connect various physical objects with Internet communication, have been also paid attention and then diverse safety services based on IoT technologies have been on the increase. However, existing mobile safety applications are simply based on location based service (LBS). Also, as they are independently operated without the help of another safety systems, they cannot efficiently cope with various safety situations. So, this paper proposes the efficient smart safety service architecture with both the risky situation detection using user location as well as various sensing information and the risk congruence measure using the streetlight infrastructure. Additionally, UDID (unique device identifier) is utilized for the secure communication with the control center.
Mobile safety;Risk detection;Secure application;Streetlight communication;UDID based secureness;
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M. S. Kang, Wireless subscribers statistics(2015), Mar. 16. 2015, from

Y. H. Kim, J. B. Lee, Y. J. Kim, and D. K. Yoon, "An examination of the functions and usages of mobile applications for disaster and safety management in korea," J. Korean Soc. Hazard Mitig., vol. 14, no. 1, pp. 247-255, Feb. 2014. crossref(new window)

S. J. Oh, S. J. Moon, and S. O. Choi, "Intelligence security and surveillance system in sensor network environment using integrated heterogeneous sensors," J. KICS, vol. 38, no. 7, pp. 551-562, Jul. 2013.

S. Y. Hwang and S. H. Park, "A study on the methodology of positioning security CCTV cameras in multi-family housings - A study on the methodology of positioning fish-eye lens CCTV cameras -," in Proc. KICS, pp. 567-568, Daejeon, Korea, Nov. 2014.

K. C. Park, S. T. Choi, and W. D. Cho, "The gait pattern Analysis using mobile Phone Accelerometer for Healing Care," in Proc. KICS, pp. 457-458, Yongpyeong, Korea, Jan. 2014.

D. H. Shin and Y. M. Kim, "Activation strategies of the disaster public-apps in korea," J. JKCA, vol. 14, no. 11, pp. 644-656, Nov. 2014.

J. Y. Ryu and T. S. Song, "Design and Implementation for Child Tracking System using GPS and WiFi under Android Environment," J. KIICE, vol. 18, no, pp. 1343-1349, Jun. 2014.

Y. C. Lee and C. W. Lee, "Android Platform based Gesture Recognition using Smart Phone Sensor Data," Smart Media J., vol. 1, no. 4, pp. 18-26, Dec. 2012.