R&I Project Hub

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

Security of open-source solutions in the business interconnected market (especially in IoT where a single product may include components from various Tier 1 or OEM manufacturers) is hard to assure. OEM SW/HW developers that employ open-source solutions must assume that any component provided by 3rd parties needs to be reassessed for security as there is no holistic security auditing/testing process to cover the full production line.

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.

Availability of large volumes of user data combined with tailored statistical analysis present a unique opportunity for organizations across the spectrum to adapt and finetune their services according to individual needs. Having shown remarkable results in analyzing user data, machine learning models attracted global adulation and are applied in a plethora of applications including medical diagnostics, pattern recognition, and threat intelligence. However, such service improvements and personalization based on user data analysis come at the heavy cost of privacy loss.