Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13076)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): FDSE: International Conference on Future Data and Security Engineering
Conference proceedings info: FDSE 2021.
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Table of contents (26 papers)
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Front Matter
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Invited Keynotes
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Front Matter
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Big Data Analytics and Distributed Systems
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Front Matter
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Advances in Machine Learning for Big Data Analytics
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Front Matter
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Industry 4.0 and Smart City: Data Analytics and Security
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Front Matter
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Other Volumes
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Future Data and Security Engineering
About this book
The 24 full papers presented together with 2 invited keynotes were carefully reviewed and selected from 168 submissions. The selected papers are organized into the following topical headings: Big Data Analytics and Distributed Systems; Advances in Machine Learning for Big Data Analytics; Industry 4.0 and Smart City: Data Analytics and Security; Blockchain and IoT Applications; Machine Learning and Artificial Intelligence for Security and Privacy; Emerging Data Management Systems and Applications.
Keywords
- artificial intelligence
- computer networks
- computer science
- computer security
- computer systems
- computer vision
- cryptography
- data mining
- data security
- education
- engineering
- image analysis
- image processing
- internet
- learning
- machine learning
- mathematics
- network protocols
- pattern recognition
- signal processing
Editors and Affiliations
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HCMC University of Technology, Ho Chi Minh City, Vietnam
Tran Khanh Dang
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Johannes Kepler University of Linz, Linz, Austria
Josef Küng
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Sungkyunkwan University, Suwon, Korea (Republic of)
Tai M. Chung
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Hosei University, Koganei-shi, Japan
Makoto Takizawa
Bibliographic Information
Book Title: Future Data and Security Engineering
Book Subtitle: 8th International Conference, FDSE 2021, Virtual Event, November 24–26, 2021, Proceedings
Editors: Tran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-91387-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-91386-1Published: 19 November 2021
eBook ISBN: 978-3-030-91387-8Published: 18 November 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 426
Number of Illustrations: 51 b/w illustrations, 132 illustrations in colour
Topics: Computer and Information Systems Applications, Artificial Intelligence, Communications Engineering, Networks, Signal, Speech and Image Processing