Abstract
With the improvement of people’s living level and the rapid development of information, people put forward higher requirements for medical standard. Effective combination between traditional medical system and modern communication technologies promotes the medical level more intelligent. The medical system involves a large number of data, which contains all kinds of information. Therefore, the patient’s information is facing the risk of data leakage and privacy information destruction in the transmission process. In order to effectively protect the patient’s privacy information, this paper presents a secure data transmission method for privacy data of Medical Internet of Things in three aspects: the transmission model of medical data, the registration authentication and key agreement between the Gateway-node and the Server, and Multi-path transmission mechanism. The theoretical analysis shows that the transmission model could effectively ensure the security of the patient’s privacy information.
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Acknowledgements
The authors would like to thank our colleagues and students in Engineering Technology Research Center of Network and Information Security at Anhui Normal University, in particular, Yonglong Luo, Xuemei Qi and Yunxiang Sun. We thank National Natural Science Foundation of China under Grant No. 61572036, University Natural Science Research Project of Anhui Province under Grant No. KJ2014A084, Wuhu City Science and Technology Project under Grant No. 2014cxy04, and Anhui Normal University Postdoctoral Project under Grant No. 161-071214 for support of this research.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ye, H., Yang, J., Zhu, J., Zhang, Z., Huang, Y., Chen, F. (2016). A Secure Privacy Data Transmission Method for Medical Internet of Things. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_15
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DOI: https://doi.org/10.1007/978-3-319-44350-8_15
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