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This report describes the evaluation and validation of the adaptive security models using the developed metrics, integration run-time verification enablers in the ASSET adaptive security framework for IoT in the eHealth settings and instantiation of the resulting framework with Colored Petri Nets, security metrics for evaluating self-adaptive security with analysis of benefits and challenges of security measuring from the self-adaptive security perspective.
E-health systems have the objective to continuously monitor the state of patients in order to increase knowledge and understanding of their physical status. Being a system of systems, the Internet of Things (IoT) has to master the challenge of integrating heterogeneous systems across technology boundaries. Timely delivery of observation data is a key aspect to identifying potential diseases and anomalies. IoT systems are vulnerable to attacks since communication is mostly wireless and thus vulnerable to eavesdropping, things are usually unattended and thus vulnerable to physical attacks, and most IoT elements are short on both the energy and computing resources necessary for the implementation of complex security-supporting schemes.
This report summarizes the published papers and reports on the topic by project partners during the lifetime of the ASSET project and constitutes the final version of this deliverable and includes the content of previous versions 1, 2, and 3.