Privacy and Security in Computing Continuum and Data-Driven Workflows

Dear Colleagues,

The current technological progress in ICT as well as the demand for digital transformation drive the development of novel networks, systems, and platforms, which in turn enables collaboration and data-driven workflows on a large scale and beyond existing trust boundaries.

The ongoing seamless integration of cloud and edge computing as well as the Internet of Things (IoT) drive this change towards the so-called computing continuum, which forms the basis for all emerging digital data and collaboration spaces.

However, many new and significant security and privacy risks have to be taken into consideration with such systems. Given the vast amount of potentially sensitive information being processed and the high number of involved entities and devices with different profiles (e.g., available resources, capabilities), protection of confidentiality throughout the entire data life cycle in the computing continuum is a major challenge. Similarly, due to the increasing number of services and devices being added, protecting authenticity from end to end is also highly important. Thus, novel solutions and approaches for secure and privacy-preserving data sharing and processing will be key to unleash the potential of the computing continuum while still ensuring data sovereignty.

This Special Issue is dedicated to research on methods, technologies, and novel approaches focused on increasing security and privacy protection for data and users. We are calling for cutting-edge contributions to fundamental theoretical research as well as applications in practice.

Dr. Thomas Loruenser
Dr. Stephan Krenn
Guest Editors

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