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

10th International Conference, FDSE 2023, Da Nang, Vietnam, November 22–24, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Tran Khanh Dang

    1. Ho Chi Minh City University of Industry and Trade, Ho Chi Minh City, Vietnam

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  2. Josef Küng

    1. Johannes Kepler University of Linz, Linz, Austria

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    You can also search for this editor in PubMed   Google Scholar

  3. Tai M. Chung

    1. Sungkyunkwan University, Suwon-si, Korea (Republic of)

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1925)

Included in the following conference series:

Conference proceedings info: FDSE 2023.

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About this book

This book constitutes the proceedings of the 10th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2023, held in Da Nang, Vietnam, during November 22–24, 2023.

The 38 full papers and 8 short papers were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and short papers: security and data engineering.

Keywords

Table of contents (46 papers)

  1. Front Matter

    Pages i-xv
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  2. Big Data Analytics and Distributed Systems

    1. Front Matter

      Pages 1-1
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    2. Three-Dimensional Visualization of Legal Acts: Concept and Prototype

      • Ermo Täks, Helina Kruuk, Dirk Draheim
      Pages 3-17

    3. An Enhanced Incentive Mechanism for Crowdsourced Federated Learning Based on Contract Theory and Shapley Value

      • Tran Khanh Dang, Phat T. Tran-Truong, Nguyen Thi Huyen Trang
      Pages 18-33

    4. Biggest Margin Tree for the Multi-class Classification

      • Tri-Thuc Vo, Thanh-Nghi Do
      Pages 34-48

    5. Maintenance Algorithms for 0-Complete Trees with Improved Space Utilization

      • H. K. Dai, K. Furusawa
      Pages 49-63

    6. Robust Vietnam’s Motorcycle License Plate Detection and Recognition Using Deep Learning Model

      • Duc Hoa Le, Debarshi Mazumder, Luyl-Da Quach, Shreya Banerjee, Vinh Dinh Nguyen
      Pages 64-75

    7. Structuring of Discourse and Annotation Method for Contribution Assessment in Collaborative Discussions

      • Takeshi Masuda, Hiroo Hirose, Takeshi Tsuchiya
      Pages 76-91

    8. Removal of Various Noise Types and Voice-Based Gender Classification for Dubbed Videos

      • Hai Thanh Nguyen, Toan Khanh Do, Khoa Viet Le, Tong Thanh Nguyen, Huong Hoang Luong
      Pages 92-103

    9. Apply Multivariate Time Series Approaches for Forecasting Vietnam Index 30

      • Noi Thanh Nguyen, Huy Quang Vo, Nhut Minh Nguyen, Thuan Dinh Nguyen
      Pages 104-117

    10. Efficient Mining of Top-K Cross-Level High Utility Itemsets

      • Nguyen Tuan Truong, Nguyen Khac Tue, Nguyen Duc Chinh, Le Dinh Huynh, Vu Thu Diep, Phan Duy Hung
      Pages 118-131

  3. Security and Privacy Engineering

    1. Front Matter

      Pages 133-133
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    2. Web Browsers’ Support for Managing Cookies. An Experiment Report

      • Ngoc Chau Lam, Manuel Clavel
      Pages 135-152

    3. Authenticating Parties in Blockchain-Enabled Inter-Organizational Processes with Configurable Challenge-Sets

      • Chibuzor Udokwu, Stefan Craß, Alex Norta
      Pages 153-170

    4. Differential Privacy for Consumer Data in Retail Data Partnerships

      • Tran Khanh Dang, Lai Trung Minh Duc
      Pages 171-183

    5. Using Transformer Technique for Intrusion Detection

      • Quang-Vinh Dang
      Pages 184-196

  4. Machine Learning and Artificial Intelligence for Security and Privacy

    1. Front Matter

      Pages 197-197
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    2. A Siamese-Based Approach for Network Intrusion Detection Systems in Software-Defined Networks

      • Dinh Hoang Nguyen, Nam Khanh Tran, Nhien-An Le-Khac
      Pages 199-211

    3. An Efficient Machine Learning-Based Web Application Firewall with Deep Automated Pattern Categorization

      • Cong-Vu Trinh, Thien-Thanh Le, Minh-Khoi Le-Nguyen, Dinh-Thuan Le, Van-Hoa Nguyen, Khuong Nguyen-An
      Pages 212-225

    4. Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study

      • Viet Trung Le, Phuc Hao Do, Sylvestre Uwizeyemungu, Thang Le-Dinh, Tran Duc Le
      Pages 226-239
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Other volumes

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

Editors and Affiliations

  • Ho Chi Minh City University of Industry and Trade, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  • Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  • Sungkyunkwan University, Suwon-si, Korea (Republic of)

    Tai M. Chung

Bibliographic Information

  • Book Title: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

  • Book Subtitle: 10th International Conference, FDSE 2023, Da Nang, Vietnam, November 22–24, 2023, Proceedings

  • Editors: Tran Khanh Dang, Josef Küng, Tai M. Chung

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-99-8296-7

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Softcover ISBN: 978-981-99-8295-0Published: 18 November 2023

  • eBook ISBN: 978-981-99-8296-7Published: 17 November 2023

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XV, 615

  • Number of Illustrations: 66 b/w illustrations, 207 illustrations in colour

  • Topics: Computer Applications, Artificial Intelligence, Systems and Data Security, Computers and Education

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