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Beschreibung:
We are living in a connected world. In line with this trend, more and more devices have to be connected and communicate automatically. Through these new requirements the IoT emerged. The usage in industry, smart cities and agriculture are only a few of the widely spread application fields. Next to these, the healthcare area is able to take advantage of this technology trend in form of the IoT-WD. The potential of IoT-WD is recognized by more and more stakeholders. Ambient assisted living (AAL), telecare including remote vital data monitoring and personalized wellbeing approaches, e.g. recommendations of fitness trackers, are only a couple of the possibilities for health-conscious people to take advantage of the IoT-WD. All these functions are made possible by the conjunction and cooperation of so-called things. However, next to above named advantages, IoT is endangered to include new safety and security risks since connected things bring hidden dependencies, and thus, possible dangerous impacts. Especially, IoT-WD has to deal with health-endangering vulnerabilities. Those range from manipulation of intimate data to life-imperiling endangerments of exactly those with a higher need of care, like infants or seniors. Thus, an identification and elimination of safety and security vulnerabilities as early as possible is essential. Since 50% of security flaws arise during the design phase, architecture approaches are needed to offer timely identification and prevention of negative impacts on human beings. IoT systems consist of many components, some of which are very small but nevertheless provide important functions, resulting in complex system models. A manual check for dangerous or harmful design decisions in these models is tedious and would include outdated data, because the monitoring process would be highly time-consuming. Since each IoT system is different, a unified and automated way to make review approaches universally applicable is needed. For this purpose, a unified IoT(-WD) meta model and an IoT layered ...