TY - JOUR
T1 - Effectively collecting data for the location-based authentication in internet of things
AU - Kawamoto, Yuichi
AU - Nishiyama, Hiroki
AU - Kato, Nei
AU - Shimizu, Yoshitaka
AU - Takahara, Atsushi
AU - Jiang, Tingting
N1 - Funding Information:
Manuscript received December 15, 2014; revised May 25, 2015; accepted June 28, 2015. Date of publication September 8, 2015; date of current version September 27, 2017. This work was supported in part by the project, “Cognitive Security: A New Approach to Securing Future Large Scale and Distributed Mobile Applications,” of Japan-US Network Opportunity: R&D for “Beyond Trillions of Objects” supported by the National Institute of Information and Communications Technology (NICT), Japan, and in part by the U.S. National Science Foundation Grant CNS-1405747.
Publisher Copyright:
© 2007-2012 IEEE.
PY - 2017/9
Y1 - 2017/9
N2 - The concept of Internet of things (IoT) has attracted attention as a key technology for realizing future industrial society. In the future society, numerous 'things' with sensors are deployed and connected to networks, and data collected from these devices are used for a wide variety of industrial applications. In this paper, we focus on data collection for location-based authentication system as an application of industrial IoT. The authentication system uses ambient information, which is collected from the devices as unique information at a certain place and a certain time. However, since the ambient information changes continuously, it is required to collect it in real time from multipoint. Thus, we propose an efficient data collection method considering the requirements from the authentication system. The key point is to regulate the network performance for data collection by considering the application requirements. Since the location-based authentication system can be used in many situations and has large expansivity, the proposed work is considered to significantly contribute to the future industrial IoT society. In addition, we demonstrate how to optimize the operation of our proposal by using mathematical analysis. Moreover, the efficiency of our proposed method is validated through numerical results.
AB - The concept of Internet of things (IoT) has attracted attention as a key technology for realizing future industrial society. In the future society, numerous 'things' with sensors are deployed and connected to networks, and data collected from these devices are used for a wide variety of industrial applications. In this paper, we focus on data collection for location-based authentication system as an application of industrial IoT. The authentication system uses ambient information, which is collected from the devices as unique information at a certain place and a certain time. However, since the ambient information changes continuously, it is required to collect it in real time from multipoint. Thus, we propose an efficient data collection method considering the requirements from the authentication system. The key point is to regulate the network performance for data collection by considering the application requirements. Since the location-based authentication system can be used in many situations and has large expansivity, the proposed work is considered to significantly contribute to the future industrial IoT society. In addition, we demonstrate how to optimize the operation of our proposal by using mathematical analysis. Moreover, the efficiency of our proposed method is validated through numerical results.
KW - Ambient information
KW - Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA)
KW - Internet of things (IoT)
KW - authentication
KW - data collection
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U2 - 10.1109/JSYST.2015.2456878
DO - 10.1109/JSYST.2015.2456878
M3 - Article
AN - SCOPUS:85030455878
VL - 11
SP - 1403
EP - 1411
JO - IEEE Systems Journal
JF - IEEE Systems Journal
SN - 1932-8184
IS - 3
M1 - 7244338
ER -