Emerging Internet of Things (IoT) technologies provide many benefits to the improvement of eHealth. The IoTs successful deployment depends on ensuring security and privacy that need to adapt to their processing capabilities and resource use. IoTs are, how ever, vulnerable to attacks since communications are mostly wireless, unattended things are usually vulnerable to physical attacks, and most IoT components are constrained by energy, communications, and computation capabilities necessary for the implement ation of complex security-supporting schemes. Most current security models and mechanisms that address the IoT's problems and allow a system to detect and recover from errors or attacks are hard to change, reuse, and analyse; thus making infrastructures t hat are inflexible, lost investments, damages resulting from mechanisms not matching the threats, etc. Therefore, ASSET will build risk-based adaptive security methods and mechanisms that increase security to an appropriate level. The security methods a nd mechanisms will adapt to the dynamic changing conditions of IoT, including usability, threats, diversity, and heterogeneity. ASSET's case study will lead to the design of adaptive strategies for the dynamic interplay between security and data transmiss ion in a mobile patient monitoring system. This will use information of link quality, data transmission rate, and processing capabilities of sensor nodes and smart phones. The security adaptation will take into account the various quality of service (QoS) metrics. This will allow us to verify the necessary security and trust for the emerging IoT in many e-Health applications in general and in the case study patient monitoring in particular. This will constitute a key innovator for future e-Health solution s in the Norwegian hospitals and health services.
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