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ICOS

The ICOS project aims at covering the set of challenges coming up when addressing this continuum paradigm, proposing an approach embedding a well-defined set of functionalities, ending up in the definition of an IoT2cloud Operating System (ICOS).

FLUIDOS

The IT landscape has evolved into a world of hyperconnectivity, where devices and information systems communicate and exchange data on numerous applications. FLUIDOS will leverage the enormous, unused processing capacity at the edge, scattered across heterogeneous edge devices that struggle to integrate with each other and to form a seamless computing continuum coherently.

FLUIDOS OBJECTIVES:

 

GLACIATION

Big data analytics collects, examines and analyses large amounts of data. To extract insights from this data, it must flow seamlessly between edges and clouds across a broad range of work locations and environments. This process consumes a lot of energy. As a result, national grids generate considerable carbon emissions. T

Waterverse

The WATERVERSE mission is to develop a Water Data Management Ecosystem (WDME) for making data management practices and resources in the water sector accessible, affordable, secure, fair, and easy to use, improving usability of data and the interoperability of data-intensive processes, thus lowering the entry barrier to data spaces, enhancing the resilience of water utilities and boosting the perceived value of data and therefore the market opportunities behind it.

NebulOus

In the realms of cloud and fog computing brokerage, it’s important to introduce advanced methods and tools. This is the aim of the EU-funded NebulOus project. NebulOus will enable secure and optimal application provisioning and reconfiguration over the cloud computing continuum. Specifically, it will develop a novel Meta Operating System and platform for enabling transient fog brokerage ecosystems that seamlessly exploit edge and fog nodes. This will be in conjunction with multi-cloud resources, to cope with the requirements posed by low latency applications

ENCRYPT

The deluge of big data, accompanied by developments in software and hardware technologies leveraging them, has created new opportunities for research and industry. Europe The main challenges, though, faced by researchers and service providers working with personal data, are stemming from the fact that these data need to be processed in a privacy-preserving way, as they contain sensitive information.

PAROMA-MED

The EU-funded PAROMA-MED project aims to develop novel technologies, tools, services and architectures for patients, health professionals, data scientists and health domain businesses so that they will be able to interact in the context of data and ML federations according to legal constraints and with complete respect to data owners’ rights from privacy protection to fine grained governance, without performance and functionality penalties of ML/AI workflows and applications.

CERTIFY

The Internet of Things (IoT) provides numerous business opportunities. However, it also comes with new challenges such as compromised security, heightening the importance of IoT infrastructure security management. In line with this, the EU-funded CERTIFY project will define a methodological, technological and organisational approach towards IoT security life cycle management. The project will also design and implement a cybersecurity life cycle management framework for IoT devices that will operate by gathering and sharing information both internally and externally.

PHOENI2X

PHOENi²X aims to design, develop, and deliver a Cyber Resilience Framework providing Artificial Intelligence (AI) - assisted orchestration, automation & response capabilities for business continuity and recovery, incident response, and information exchange, tailored to the needs of Operators of Essential Services (OES) and of the EU Member State (MS) National Authorities entrusted with cybersecurity.

AI4CYBER

Artificial intelligence (AI) has a big role to play in cybersecurity – good and bad. It can be a powerful mechanism to detect threats and protect systems against attacks. It can also be used by attackers as a weapon. In this context, the EU-funded AI4CYBER will provide an Ecosystem Framework of next-generation trustworthy cybersecurity services that leverage AI and Big Data technologies to support system developers and operators in effectively managing AI-powered cyberattacks.

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