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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：Sensors

摘要：Intelligent medical service system integrates wireless internet of things (WIoT), including medical sensors, wireless communications, and middleware techniques, so as to collect and analyze patients’ data to examine their physical conditions by many personal health devices (PHDs) in real time. However, large amount of malicious codes on the Android system can compromise consumers’ privacy, and further threat the hospital management or even the patients’ health. Furthermore, this sensor-rich system keeps generating large amounts of data and saturates the middleware system. To address these challenges, we propose a fog computing security and privacy protection solution. Specifically, first, we design the security and privacy protection framework based on the fog computing to improve tele-health and tele-medicine infrastructure. Then, we propose a context-based privacy leakage detection method based on the combination of dynamic and static information. Experimental results show that the proposed method can achieve higher detection accuracy and lower energy consumption compared with other state-of-art methods. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

ISSN号：1424-8220

是否译文：否

发表时间：2019-03-01

合写作者：Huang, Ruicong,Jiang, Li,刘长江,Qiao, Gongzhe,Du, Xiaojiang,Guizani, Mohsen

通讯作者：顾晶晶,Huang, Ruicong,Jiang, Li,顾晶晶