Privacy and Security for the Internet of Things (IoT)

Dear Colleagues,

Security and privacy are very important issues for any type of system and are particularly difficult objectives for IoT systems. IoT systems can appear as part of IT systems, cyber–physical systems, machine learning systems, and every other conceivable type of architecture. Three aspects make security a difficult problem for the IoT: heterogeneity, resource constraints, and dynamic environment. Heterogeneity is a key aspect because a particular system may include devices from different origins and different owners, with their own security constraints and defenses. To these aspects, we must add the large number of devices that may be involved, real-time needs, and humans-in-the-loop. Clouds are increasingly used to control and manage IoT systems. Fog computing is a virtualized platform that stands between clouds and devices, providing them with computation, storage, and networking services; a cloud can thus control and communicate with the fog and indirectly with devices to perform specific functions in collaboration with them. Human participation requires privacy protection. All this results in enormous complexity, which in turn increases the attack surface of the system. The secure design of IoT-based applications must be able to handle this heterogeneity and complexity.

This Special Issue attempts to attract research articles about any aspect of the security and privacy of IoT systems, including threat analysis, secure design, secure architectures, privacy by design, and related topics.

Prof. Dr. Eduardo B. Fernandez
Guest Editor

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