A method of ensuring privacy through data federation in an Internet-of-Things (IoT) system involves receiving the data message; determining whether the data message is containing new information; and if so, based on the determination that the data message contains the latest information, selecting one or more directives to trigger based upon the data message, and then generating an registration based on one or more triggered directives.

In the past 10 years over the past decade, the Internet-of-Things (IoT) concept has been adopted overwhelmingly across a variety of fields that produce data and processed (e.g. healthcare, automotive smart cities, industrial and so on.) This has resulted in a variety of IoT platforms and IoT deployments.

As an example for instance, the IoT concept is being used in the healthcare industry where sensitive data is and of most crucial importance to save lives. Today, many medical devices rely on heterogeneous sensors. They are used, for in the home for instance, for monitoring patients and promptly delivering hints and alerts that are timely, or for having an offline data analysis discovering patterns, anomalies, and similar. The gateway is accountable for data security, exposure and reporting to other platforms. It can also handle reports and provide data to other domains, such as cardiology, nutrition, and nutrition. Different administrations are able to control the sensors. Medical applications that use big data may require data input from multiple domains for computing accurate output. Additionally the quality of the data should be very high so only sensors or gateways that are allowed to be allowed to push certain parameters.

Another typical IoT use-case is Smart Cities. In Smart Cities the sensors are installed almost everywhere in the public space and controlled by various different parties. For instance, there might be sensors for tracking buses (e.g. that measure speed, acceleration or location) that are owned by the public transportation industry or surveillance cameras managed by homeland security as well as crowdsourced data collected from an application for smartphones. A smart service for citizens could include dynamicallyoptimizing the public transportation services by scheduling bus arrival time and bus route based on current needs (e.g., serving crowds moving within the city), or enhancing the transportation capabilities by supplementing the basic schedule with extrabus/tram rides as needed. To achieve this crowd detection data gathered from bus stop cameras, crowd mobility patterns from smartphone applications, and the utilization of fleet capacity could be used to inform an online analysis. A third-party company that provides such services (for example an academic research lab or an entrepreneur) may not know who is storing and providing the information. Thus, the third-party must be able to discover information availability on its own. The quality of the services may improve if volume or quality of data increases.

Smart Industry is another IoT application. Manufacturing companies for machinery are creating devices that are equipped with sensors to monitor life-cycle and operational behaviors. Industries typically employ equipment made by several machinerycompanies with each of them offering their own data services as well as specialized equipment. If data from the majority or all producers is shared, some software that improve production and enhance security in factories are possible. However, machinery companies are able to protect their personal data and would like to protect their data.

It has taken considerable effort to create standards and ontologies to facilitate interoperability among platforms and inter-domain interactions. There are three options for centralizing platforms and data storage under one authority, A Federation of Platforms that leaves the sovereignty to the local IoT administrator or a mixture of both centralization and the federation approach. A federation-based approach is typically more desirable to agencies who are hesitant (or areby regulation not permitted) to give up control of data (e.g. smart homes as well as public administration and industrial facilities). In fact, currently various IoT platforms are in operation and locally managed with IoT applicationsbuilt on top creating isolated domain silos.

A method of privacy-preserving data federation in an internet-of?things (IoT) in accordance with the invention, is described in detail. It involves: receiving an email, determining if it contains new information, based upon that determination, determining the appropriate directives on which to be triggered based on the data messages; and then creating a registration using the one or more triggered instructions.

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