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The incremental diffusion of the Internet of Things (IoT) technologies and applications represents the outcome of a world ever more connected by means of heterogeneous and mobile devices. IoT scenarios imply the presence of multiple data producers (e.g., sensors, actuators, RFID, NFC) and consumers (e.g., end-user devices, such as smartphones, tablets, and PCs). A variety of standards and protocols must cooperate to efficiently gather, process, and share the information. The fog computing paradigm, due to its distributed nature, represents a viable solution to cope with interoperability, scalability, security, and privacy issues, which naturally emerge, since it operates as an intermediate layer between data consumers/producers and traditional cloud systems. This paper analyzes the evolution in the modeling of new methodologies, related to fog computing and IoT, showing how moving security and privacy tasks …