Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Tran Khanh Dang

ISBN 10: 9813343699 / ISBN 13: 9789813343696

Edité par Springer Nature Singapore, Springer Nature Singapore Nov 2020, 2020

A propos de cet article

Neuware -This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.\*The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering.\* The conference was held virtually due to the COVID-19 pandemic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.

N° de réf. du vendeur 9789813343696

Détails bibliographiques

• Titre: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
• Éditeur: Springer Nature Singapore, Springer Nature Singapore Nov 2020
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 9813343699
• ISBN à 13 chiffres: 9789813343696
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.*

The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering.

* The conference was held virtually due to the COVID-19 pandemic.