Part 5: Service Orientation in Collaborative NetworksInternational audienceNowadays, the proliferation of cloud-based services (CBS) has revolutionized the way people communicate, connect, share and eventually conduct business. Large and small and medium enterprises often adapt to this era by providing their core competence through an API. The present paper aims at describing a solution that manages, advances and unifies the functionality of the various CBS under a common framework that is being developed as a coherent graph API. Since the task of handling the evolution and complexity of the CBS API lifecycle is high, the framework is accompanied by a tool that creates a community of enterprises and developers actively engaged both in the usage of the Generic Graph APIs, but also in the update and improvement of these initial APIs
As the confidentiality and integrity of modern health infrastructures is threatened by intrusions and real-time attacks related to privacy and cyber-security, there is a need for proposing novel methodologies to predict future incidents and identify new threat patterns. The main scope of this article is to propose an advanced extension to current Intrusion Detection System (IDS) solutions, which (i) harvests the knowledge out of health data sources or network monitoring to construct models for new threat patterns and (ii) encompasses methods for detecting threat patterns utilizing also advanced unsupervised machine learning data analytic methodologies. Although the work is motivated by the health sector, it is developed in a manner that is directly applicable to other domains.
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