Abstract
Mobile health monitoring, which can monitor the medical users’ real-time physiology parameters, has been expected as an effective way to improve medical service quality and make response to the emergency. Unfortunately, it also risks the information privacy of both the medical users and the healthcare service providers when they upload their information. This paper is to propose a privacy-preserving based scheduling scheme for emergency response (PPSSER) to protect the privacy of the involved users when an emergency occurs. Moreover, the multi-dimensional region query method is introduced to conseal the personal health information and homomorphic encryption is used to protect the location and attribute privacy of the users. Finally, the simulation demonstrates the effectiveness and feasibility of the proposed scheme.
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Acknowledgment
This work was supported in part by the National Basic Research Program of China under Grant 2010CB731803, in part by the NSF of China under Grants U1405251, 61221003, 61290322, 61174127, and 61273181, in part by the Ministry of Education of China under Grants NCET-13-0358, 20110073130005, and 20110073120025, and in part by the Science and Technology Commission of Shanghai Municipality (STCSM), China under Grant 13QA1401900.
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Yu, W., Chen, C., Yang, B., Guan, X. (2015). PPSSER: Privacy-Preserving Based Scheduling Scheme for Emergency Response in Medical Social Networks. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_70
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DOI: https://doi.org/10.1007/978-3-319-21837-3_70
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