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Security Risk Assessment for Miniature Internet of Thing Systems with 5G

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Abstract

In order to improve the traditional analytic hierarchy process method, information entropy and interval fuzzy number are introduced to AHP respectively on the weight of the hierarchy and the weight of the index. The effectiveness of the improved method is tested by a Simulation example which is based on risk assessment index system of miniature Internet of things system. Meanwhile, 5G as the fifth generation of mobile communication technology, will be widely used in entertainment, health care, education and autonomous driving. It will extend the capabilities of various applications on our personal devices and wearable devices will fill every corner of our lives by the application with miniature Internet of thing systems. At the same time, 5G also faces the threat of information security risk, which is our paper concerned.

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Acknowledgement

The research is supported by National Natural Science Foundation of China(Grant No. 51874300), the National Natural Science Foundation of China and Shanxi Provincial People’s Government Jointly Funded Project of China for Coal Base and Low Carbon (Grant No. U1510115), National Natural Science Foundation of China (Grant Nos. 51874299, 51104157), the Qing Lan Project, the China Postdoctoral Science Foundation (Grant No. 2013T60574), the Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 20110095120008) and the China Postdoctoral Science Foundation (Grant No. 20100481181).

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Correspondence to Fangming Bi .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, W., Wang, L., Bi, F., Tang, C., Li, S. (2019). Security Risk Assessment for Miniature Internet of Thing Systems with 5G. In: Leung, V., Zhang, H., Hu, X., Liu, Q., Liu, Z. (eds) 5G for Future Wireless Networks. 5GWN 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-17513-9_12

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  • DOI: https://doi.org/10.1007/978-3-030-17513-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17512-2

  • Online ISBN: 978-3-030-17513-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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