Purpose
Since the turn of the century, we have witnessed a significant increase in systems and systems of systems complexity where:
• Systems become more IT intensive, as we see for instance with the spread of the Internet of Things (IoT) and, with the convergence of Operational Technologies (OT) and Information Technologies (IT), more ‘cyber’ in nature.
• Systems become more data intensive, thus the rise of Big Data and data driven services.
• Systems integrate more complex technologies, such as Artificial Intelligence (AI) technologies.
These changes in technologies have enabled the evolution of ‘smart’ systems and systems of systems such as smart homes and buildings, smart grids, smart factories, smart health, precision agriculture, smart transportation and smart cities. These ‘smart’ systems, many of which are socio-technical (e.g. systems that includes a combination of technical and human or natural elements, as defined in the INCOSE SEBoK) in nature, provide new services that enhance the well-being and the sustainability of our global society.
Given the criticality, from both a safety and mission point of view, of these systems, it is necessary to be able to communicate the level of trust in these systems and the services they provide. Thus, the need for the characterization of the trustworthiness of these systems and their associated enabled services.
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