DeepAI AI Chat
Log In Sign Up

A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain

by   Dimitrios Miltiadou, et al.

The aviation industry as well as the industries that benefit and are linked to it are ripe for innovation in the form of Big Data analytics. The number of available big data technologies is constantly growing, while at the same time the existing ones are rapidly evolving and empowered with new features. However, the Big Data era imposes the crucial challenge of how to effectively handle information security while managing massive and rapidly evolving data from heterogeneous data sources. While multiple technologies have emerged, there is a need to find a balance between multiple security requirements, privacy obligations, system performance and rapid dynamic analysis on large datasets. The current paper aims to introduce the ICARUS Secure Experimentation Sandbox of the ICARUS platform. The ICARUS platform aims to provide a big data-enabled platform that aspires to become an 'one-stop shop' for aviation data and intelligence marketplace that provides a trusted and secure 'sandboxed' analytics workspace, allowing the exploration, integration and deep analysis of original and derivative data in a trusted and fair manner. Towards this end, a Secure Experimentation Sandbox has been designed and integrated in the ICARUS platform offering, that enables the provisioning of a sophisticated environment that can completely guarantee the safety and confidentiality of data, allowing to any interested party to utilise the platform to conduct analytical experiments in closed-lab conditions.


A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry

The unprecedented volume, diversity and richness of aviation data that c...

Contextualizing Geometric Data Analysis and Related Data Analytics: A Virtual Microscope for Big Data Analytics

The relevance and importance of contextualizing data analytics is descri...

A new paradigm for accelerating clinical data science at Stanford Medicine

Stanford Medicine is building a new data platform for our academic resea...

Morpheo: Traceable Machine Learning on Hidden data

Morpheo is a transparent and secure machine learning platform collecting...

A Novel Micro-service Based Platform for Composition, Deployment and Execution of BDA Applications

Big Data are growing at an exponential rate and it becomes necessary the...

CoVault: A Secure Analytics Platform

In a secure analytics platform, data sources consent to the exclusive us...

Big Data Architecture in Czech Republic Healthcare Service: Requirements, TPC-H Benchmarks and Vertica

Big data in healthcare has made a positive difference in advancing analy...