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E-Learning Material Development Framework Supporting 360VR Images/Videos Based on Linked Data for IoT Security Education

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 29))

Abstract

This paper proposes an e-learning material development framework using 360VR images/videos for IoT security education. The authors joined a research project about “Security in the Internet of Things space”. There are several activities of this project from hardware level to application software level, and IoT security education is also included in this project. The authors of this paper are the members of this IoT security education group, and one of its activities is to provide e-learning materials about IoT security. For preparing the contents of such e-learning materials, the authors have been building a database that contains the IoT security information like various kinds of IoT threats based on Linked Data. The next research activity is to provide e-learning materials themselves using the database that attract students to IoT security. The use of new media like 360VR images/videos may enable e-learning materials to attract students. Therefore, in this paper, the authors propose an e-learning material development framework supporting 360VR images/videos based on Linked Data for IoT security education.

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Acknowledgements

This research was mainly supported by Strategic International Research Cooperative Program, Japan Science and Technology Agency (JST) regarding “Security in the Internet of Things Space”, and partially supported by JSPS KAKENHI Grant Number JP16H02923 and JP17H00773.

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Correspondence to Yoshihiro Okada .

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Okada, Y., Haga, A., Wei, S., Ma, C., Kulshrestha, S., Bose, R. (2019). E-Learning Material Development Framework Supporting 360VR Images/Videos Based on Linked Data for IoT Security Education. In: Barolli, L., Xhafa, F., Khan, Z., Odhabi, H. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-12839-5_14

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