Security and privacy requirements engineering for human centric IoT systems using eFRIEND and Isabelle

In this paper, we combine a framework for ethical requirement elicitation eFRIEND with automated reasoning. To provide trustworthy and secure IoT for vulnerable users in healthcare scenarios, we need to apply ethics to arrive at suitable system requirements. In order to map those to technical system requirements, we employ high level logical modeling using dedicated Isabelle frameworks for (1) infrastructures with human actors and security policies, (2) attack tree analysis, and (3) security protocol analysis. Following this outline, we apply these frameworks to a case study for supporting Security and Privacy when diagnosing Alzheimer's patients with smartphone and sensor technology.