IoT systems today tend to be built around the concept of IoT/cloud convergence, integrating heterogeneous data streams within cloud infrastructures, and thus benefiting from the scalability, performance and capacity of the cloud. This approach is very efficient for some IoT applications such as big data processing problems. However, these architectures promote a centralized data collection and processing approach, which introduces several limitations in terms of supported applications and business models that they enable.
The main goal of M-Sec project is to empower IoT stakeholders to develop, deploy and operate novel IoT applications based on a scalable highly decentralized paradigm, which facilitates incentivized peer-to-peer interactions between objects and people. The project will explore semantically interoperable interactions between people/objects according to a given social context, beyond their simple peer-to-peer information exchange and internetworking. Overall, the M-Sec paradigm will enable the introduction and implementation of specific classes of applications and services that are not efficiently supported by state-of-the-art architectures.
The M-Sec project will deliver a set of concrete and added value main results:
Read more details on the M-Sec mini-site and find out more about the latest update, project results and benefit to the healthcare community.
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On the event of the adoption of the draft regulation laying down measures for a high common level of cybersecurity at the institutions, bodies, offices and agencies of the Union, the AI4HealthSec project kicked off a process to provide its opinion.
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