Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications : 11th International Conference on Future Data and Security Engineering, FDSE 2024, Binh Duong, Vietnam, November 27-29, 2024, Proceedings, Part I

Tran Khanh Dang

ISBN 10: 9819604338 / ISBN 13: 9789819604333

Published by Springer Nature Singapore, Springer Nature Singapore, 2024

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This two-volume set CCIS 2309-2310 constitutes the refereed proceedings of the 11th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2024, held in Binh Duong, Vietnam, during November 27-29, 2024.The 44 full papers, 12 short papers and 1 keynote paper were carefully reviewed and selected from 189 submissions. They were organized in topical sections as follows: advances in machine learning for big data analytics; security and privacy engineering; data analytics and healthcare systems; smart city and industry 4.0 applications; big data query processing and optimization; and short papers; security and data engineering.

Seller Inventory # 9789819604333

Bibliographic Details

• Title: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications : 11th International Conference on Future Data and Security Engineering, FDSE 2024, Binh Duong, Vietnam, November 27-29, 2024, Proceedings, Part I
• Publisher: Springer Nature Singapore, Springer Nature Singapore
• Publication Date: 2024
• Language: English
• ISBN 10: 9819604338
• ISBN 13: 9789819604333
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This two-volume set CCIS 2309-2310 constitutes the refereed proceedings of the 11th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2024, held in Binh Duong, Vietnam, during November 27–29, 2024.

The 44 full papers, 12 short papers and 1 keynote paper were carefully reviewed and selected from 189 submissions. They were organized in topical sections as follows: advances in machine learning for big data analytics; security and privacy engineering; data analytics and healthcare systems; smart city and industry 4.0 applications; big data query processing and optimization; and short papers; security and data engineering.