1,721,060 research outputs found

    From design to prototyping in the Internet of Things: A domotics case study

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    Nowadays, the capability of rapidly designing and prototyping, simple, yet real domotics systems (e.g., smart homes and smart buildings applications) is even more compelling, due to the availability and increasing spread of Internet of Things (IoT) devices. Home automation services enable the remote monitoring of indoor environments and facilities. The main advantages include saving energy consumption and improving the overall management (and users' experience) in certain application domains. The pervasive adoption and diffusion of such remote monitoring solutions is hampered by the timing required for design, prototyping and further developing applications and underlying architecture, which must be often customized on the basis of specific domains' needs and involved entities. To cope with this issue, the paper proposes the analysis and prototyping of a domotics case study, in order to demonstrate the effectiveness of proper IoT?related tools in speeding up the testing phase

    Insights into security and privacy towards fog computing evolution

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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 toward the edge of the network provide both advantages and new challenges to be faced in this research field. The proposed discussion provides an overview of requirements for the realization of secure and privacy-aware IoT-based fog computing infrastructures
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