Abstract
The term «Internet of Medical Things» (IoMT ) refers to a set of devices and technologies for remote monitoring of patients’ health using wearable devices. One primary problem with pa-tient’s data is ensuring privacy and resource intensive protection when it is transmitted over open communication channels and stored in cloud systems. However, when it comes to millions of IoT devices, technologies that have already become classic for Internet resources are not suit-able in many aspects at once: low computing power, out of memory, limited battery capacity and etc. The work considered Attribute-based encryption for ensuring security of personified data in IoMT networks. Also, the research studied the issues of patient’s data confidentiality in cloud systems, management of cryptographic keys and data sharing control. The algorithms for effective and secure solution were proposed. We have proposed a framework for processing patient data from portable diagnostic devices using ABE methods. The results of load testing of the prototype are presented too
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