An Evaluation Framework for Adaptive Security for the IoT in eHealth

We present an assessment framework to evaluate adaptive security algorithms specifically for the Internet of
Things (IoT) in eHealth applications. The successful deployment of the IoT depends on ensuring security and privacy, which need to adapt to the processing capabilities and resource use of the IoT. We develop a framework for the assessment and validation of context-aware adaptive security solutions for the IoT in eHealth that can quantify the characteristics and requirements of a situation. We present the properties to be fulfilled by a scenario to assess and quantify characteristics for the adaptive security solutions for eHealth. We then develop scenarios for patients with chronic diseases using biomedical sensors. These scenarios
are used to create storylines for a chronic patient living at home or being treated in the hospital. We show numeric examples for how to apply our framework. We also present guidelines how to integrate our framework to evaluating adaptive security solutions.