A Secure Experimentation Sandbox for the Design and Execution of Trusted and Secure Analytics in the Aviation Domain-Reference-Cited by-同舟云学术

A Secure Experimentation Sandbox for the Design and Execution of Trusted and Secure Analytics in the Aviation Domain

Published:2021 Issue: Volume: Page:120-134
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Miltiadou Dimitrios^ORCID,Pitsios Stamatis^ORCID,Spyropoulos Dimitrios^ORCID,Alexandrou Dimitrios^ORCID,Lampathaki Fenareti^ORCID,Messina Domenico^ORCID,Perakis Konstantinos^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-66922-5_8

Reference13 articles.

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2. Wyman, O.: Aviation’s data science revolution (2017). https://www.oliverwyman.com/content/dam/oliver-wyman/v2/publications/2017/jun/Aviations_Data_Science_Revolution_The_Connected_Aircraft_Final_web.pdf. Accessed 23 July 2020

3. Ajah, I.A., Nweke, H.F.: Big data and business analytics: trends, platforms, success factors and applications. Big Data Cogn. Comput. 3(2), 32 (2019)

4. da Silva, T.L.C., et al.: Big data analytics technologies and platforms: a brief review. In: Latin America Data Science Workshop, 44th International Conference on Very Large Data Bases, Brazil (2018)

5. Amalina, F., et al.: Blending big data analytics: review on challenges and a recent study. IEEE Access 8, 3629–3645 (2019)

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